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Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
100 | 1 | Signal Processing Theory and Methods | TM | T-SP/T-SIPN | TC-SPTM | icassp | |||
110 | Digital signal processing | TM-DSP | T-SP | TC-SPTM | |||||
111 | Signal and system modeling | TM-DSP-SMOD | T-SP | TC-SPTM | icassp | ||||
112 | Sampling theory | TM-DSP-SAMP | T-SP | TC-SPTM | icassp | ||||
113 | Transforms | TM-DSP-TRSF | T-SP | TC-SPTM | icassp | ||||
114 | Filtering | TM-DSP-FILT | T-SP | TC-SPTM | icassp | ||||
115 | Multidimensional signal processing | TM-DSP-MDIM | T-SP | TC-SPTM | |||||
116 | Multirate signal processing and filter banks | TM-DSP-MULT | T-SP | TC-SPTM | |||||
117 | Time-frequency and multiresolution analysis | TM-DSP-TFSR | T-SP | TC-SPTM | icassp | ||||
118 | Quantization | TM-DSP-QUAN | T-SP | TC-SPTM | |||||
119 | Fast algorithms | TM-DSP-FAST | T-SP | TC-SPTM | |||||
120 | Statistical signal processing | TM-SSP | T-SP | TC-SPTM | |||||
121 | Statistical signal modeling, identification, and analysis | TM-SSP-ANLS | T-SP | TC-SPTM | |||||
122 | Spectral analysis and filtering | TM-SSP-SPEC | T-SP | TC-SPTM | |||||
123 | Estimation | TM-SSP-ESTI | T-SP | TC-SPTM | icassp | ||||
124 | Detection and classification | TM-SSP-DETC | T-SP | TC-SPTM | icassp | ||||
125 | Bayesian signal processing | TM-SSP-BAYE | T-SP | TC-SPTM | icassp | ||||
126 | Robust signal processing | TM-SSP-ROBU | T-SP | TC-SPTM | |||||
127 | Sparse and low-dimensional signal recovery | TM-SSP-SPAR | T-SP | TC-SPTM | icassp | ||||
128 | Nonstationary statistical signal processing | TM-SSP-NSTA | T-SP | TC-SPTM | |||||
129 | Random matrix methods | TM-SSP-RAND | T-SP | TC-SPTM | |||||
12A | Performance analysis and bounds | TM-SSP-PERF | T-SP | TC-SPTM | |||||
130 | Matrix and tensor methods | TM-MAT | T-SP | TC-SPTM | |||||
131 | Matrix and tensor factorization and completion | TM-MAT-FACT | T-SP | TC-SPTM | icassp | ||||
132 | Sparse and non-negative matrices and tensors | TM-MAT-SPAR | T-SP | TC-SPTM | icassp | ||||
133 | Source separation | TM-MAT-SSEP | T-SP | TC-SPTM | icassp | ||||
134 | Independent component analysis | TM-MAT-ICA | T-SP | TC-SPTM | icassp | ||||
135 | Subspace and manifold learning | TM-MAT-SUBS | T-SP | TC-SPTM | icassp | ||||
136 | Tensor-based signal processing | TM-MAT-TENS | T-SP | TC-SPTM | icassp | ||||
140 | Adaptive signal processing | TM-ASP | T-SP | TC-SPTM | icassp | ||||
141 | Adaptive filter analysis and design | TM-ASP-FILT | T-SP | TC-SPTM | |||||
142 | Frequency domain and subband adaptive filtering | TM-ASP-FREQ | T-SP | TC-SPTM | |||||
143 | Fast algorithms | TM-ASP-FAST | T-SP | TC-SPTM | |||||
144 | Tracking | TM-ASP-TRAC | T-SP | TC-SPTM | icassp | ||||
150 | Optimization methods | TM-OPT | T-SP | TC-SPTM | icassp | ||||
151 | Convex optimization | TM-OPT-CONV | T-SP | TC-SPTM | |||||
152 | Non-convex optimization | TM-OPT-NCON | T-SP | TC-SPTM | |||||
153 | Distributed optimization | TM-OPT-DIST | T-SP | TC-SPTM | icassp | ||||
154 | Sparse optimization | TM-OPT-SPAR | T-SP | TC-SPTM | |||||
160 | Graph signal processing | TM-GSP | T-SP/T-SIPN | TC-SPTM | icassp | ||||
161 | Graph signal modeling and analysis | TM-GSP-ANLS | T-SP/T-SIPN | TC-SPTM | |||||
162 | Graph modeling and topology identification | TM-GSP-IDEN | T-SP/T-SIPN | TC-SPTM | |||||
163 | Sampling theory for graphs | TM-GSP-SAMP | T-SP/T-SIPN | TC-SPTM | |||||
164 | Graph filtering and transforms | TM-GSP-FILT | T-SP/T-SIPN | TC-SPTM | |||||
165 | Stochastic graph signal processing | TM-GSP-STOC | T-SP/T-SIPN | TC-SPTM | |||||
166 | Graph-time processing | TM-GSP-TIME | T-SP/T-SIPN | TC-SPTM | |||||
167 | Topological signal processing | TM-GSP-TOPO | T-SP/T-SIPN | TC-SPTM | |||||
170 | Distributed signal processing theory and methods | TM-DIS | T-SP/T-SIPN | TC-SPTM | icassp | ||||
171 | Distributed estimation | TM-DIS-ESTI | T-SP/T-SIPN | TC-SPTM | |||||
172 | Distributed detection and classification | TM-DIS-DETC | T-SP/T-SIPN | TC-SPTM | |||||
173 | Distributed adaptation | TM-DIS-ADAP | T-SP/T-SIPN | TC-SPTM | |||||
174 | Distributed optimization | TM-DIS-OPT | T-SP/T-SIPN | TC-SPTM | icassp | ||||
180 | Applications and other topics of signal processing theory and methods | TM-APP | T-SP/T-SIPN | TC-SPTM | icassp |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
200 | 2 | Machine Learning in Signal Processing | ML | T-SP/T-SIPN | TC-MLSP | icassp | icip | ||
210 | Machine learning paradigms | ML-LEA | T-SP | TC-MLSP | |||||
211 | Supervised and semi-supervised learning | ML-LEA-SUPE | T-SP | TC-MLSP | icassp | ||||
212 | Unsupervised learning | ML-LEA-UNSU | T-SP | TC-MLSP | icassp | ||||
213 | Self-supervised learning | ML-LEA-SSUP | T-SP | TC-MLSP | icassp | ||||
214 | Online learning | ML-LEA-ONLI | T-SP | TC-MLSP | |||||
215 | Representation learning | ML-LEA-REPR | T-SP | TC-MLSP | |||||
216 | Regression and classification | ML-LEA-REGR | T-SP | TC-MLSP | |||||
217 | Pattern recognition and clustering | ML-LEA-PATT | T-SP | TC-MLSP | icassp | ||||
218 | Performance analysis and bounds | ML-LEA-PERF | T-SP | TC-MLSP | icassp | ||||
220 | Reinforcement learning | ML-REI | T-SP | TC-MLSP | icassp | ||||
221 | Deep reinforcement learning | ML-REI-DEEP | T-SP | TC-MLSP | |||||
222 | Policy optimization and policy gradient | ML-REI-POLI | T-SP | TC-MLSP | |||||
223 | Q-learning | ML-REI-QLEA | T-SP | TC-MLSP | |||||
224 | Inverse reinforcement learning | ML-REI-INVE | T-SP | TC-MLSP | |||||
225 | Exploration and exploitation | ML-REI-EXPL | T-SP | TC-MLSP | |||||
230 | Deep learning | ML-DLR | T-SP | TC-MLSP | |||||
231 | Deep learning models | ML-DLR-MODL | T-SP | TC-MLSP | icassp | ||||
232 | Deep learning training methods | ML-DLR-METH | T-SP | TC-MLSP | icassp | ||||
233 | Deep generative models | ML-DLR-GENM | T-SP | TC-MLSP | icassp | ||||
234 | Deep learning fairness and privacy | ML-DLR-PRIV | T-SP | TC-MLSP | icassp | ||||
235 | Transfer learning and meta-learning | ML-DLR-TRAN | T-SP | TC-MLSP | icassp | ||||
240 | Distributed and federated learning | ML-DIS | T-SIPN | TC-MLSP | icassp | ||||
241 | Learning architectures and algorithms | ML-DIS-ARCH | T-SIPN | TC-MLSP | |||||
242 | Security and privacy | ML-DIS-PRIV | T-SIPN | TC-MLSP | |||||
243 | Scalability and resource optimization | ML-DIS-RESC | T-SIPN | TC-MLSP | |||||
244 | Robustness and fault tolerance | ML-DIS-ROBU | T-SIPN | TC-MLSP | |||||
245 | Dynamic and heterogeneous environments | ML-DIS-DYNA | T-SIPN | TC-MLSP | |||||
246 | Communication and synchronisation issues | ML-DIS-COMM | T-SIPN | TC-MLSP | |||||
250 | Graph neural networks | ML-GNN | T-SIPN | TC-MLSP | icassp | ||||
251 | Graph convolutional neural network | ML-GNN-GCNN | T-SIPN | TC-MLSP | |||||
252 | Graph attention network | ML-GNN-ATTN | T-SIPN | TC-MLSP | |||||
253 | Graph sequence neural network | ML-GNN-SEQN | T-SIPN | TC-MLSP | |||||
254 | Topological deep learning | ML-GNN-TOPO | T-SIPN | TC-MLSP | |||||
260 | Emerging machine learning topics | ML-EMG | T-SP | TC-MLSP | |||||
261 | Explainable and interpretable machine learning | ML-EMG-EXPL | T-SP | TC-MLSP | icassp | ||||
262 | Adversarial machine learning | ML-EMG-ADVR | T-SP | TC-MLSP | icassp | ||||
263 | Robust and trustworthy machine learning | ML-EMG-ROBU | T-SP | TC-MLSP | icassp | ||||
264 | Causal machine learning | ML-EMG-CAUS | T-SP | TC-MLSP | |||||
265 | Sustainable machine learning | ML-EMG-SUST | T-SP | TC-MLSP | icassp | ||||
266 | Quantum machine learning | ML-EMG-QUAN | T-SP | TC-MLSP | icassp | ||||
270 | Conventional machine learning | ML-CON | T-SP | TC-MLSP | |||||
271 | Graphical and kernel methods | ML-CON-KERN | T-SP | TC-MLSP | icassp | ||||
272 | Dictionary learning | ML-CON-DICT | T-SP | TC-MLSP | icassp | ||||
273 | Information theoretic learning | ML-CON-INFO | T-SP | TC-MLSP | icassp | ||||
274 | Bayesian machine learning | ML-CON-BAYE | T-SP | TC-MLSP | icassp | ||||
275 | Sequential learning | ML-CON-SEQU | T-SP | TC-MLSP | icassp | ||||
276 | Sparsity-aware learning | ML-CON-SPAR | T-SP | TC-MLSP | icassp | ||||
277 | Tiny and efficient machine learning | ML-CON-TINY | T-SP | TC-MLSP | |||||
278 | Feature extraction and selection | ML-CON-FEAT | T-SP | TC-MLSP | icassp | ||||
280 | Applications and other topics of machine learning | ML-APP | T-SP | TC-MLSP | icip | ||||
281 | Machine learning applications for big data | ML-APP-BIGD | T-SP | TC-MLSP | icassp | ||||
282 | Machine learning applications for wireless networks | ML-APP-WIFI | T-SP | TC-MLSP | icassp | ||||
283 | Machine learning applications for communications | ML-APP-COMM | T-SP | TC-MLSP | icassp | ||||
284 | Machine learning applications for image and video processing | ML-APP-IMAG | T-SP | TC-MLSP | icassp | icip | |||
285 | Machine learning applications for biomedical signal and image processing | ML-APP-BIOM | T-SP | TC-MLSP | icip | ||||
286 | Machine learning applications for information forensics and security | ML-APP-IFOR | T-SP | TC-MLSP | icip | ||||
287 | Machine learning applications for speech, music, and audio processing | ML-APP-MUSA | T-SP | TC-MLSP | icassp | ||||
288 | Machine learning applications for time series analysis | ML-APP-TIME | T-SP | TC-MLSP | icassp | ||||
289 | Machine learning applications for multimodal data | ML-APP-MMOD | T-SP | TC-MLSP | icassp | icip | |||
28A | Machine learning applications for sciences | ML-APP-SCI | T-SP | TC-MLSP | |||||
28B | Other applications of machine learning | ML-APP-OTHR | T-SP | TC-MLSP | icassp |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
300 | 3 | Signal Processing for Sensing and Communication | SC | T-SP/T-SIPN | TC-SPCOM/TC-SAM | icassp | |||
310 | Array signal processing | SC-SAM | T-SP | TC-SAM | |||||
311 | Beamforming and source separation | SC-SAM-BEAM | T-SP | TC-SAM | icassp | ||||
312 | Direction of arrival estimation and source localization | SC-SAM-DOAE | T-SP | TC-SAM | icassp | ||||
313 | Array calibration | SC-SAM-CALB | T-SP | TC-SAM | icassp | ||||
314 | Tracking | SC-SAM-TRCK | T-SP | TC-SAM | icassp | ||||
315 | Performance analysis and bounds | SC-SAM-PERF | T-SP | TC-SAM | icassp | ||||
316 | MIMO and massive MIMO array processing | SC-SAM-MIMO | T-SP | TC-SAM | icassp | ||||
317 | mmWave, UWB and THz array processing | SC-SAM-WAVE | T-SP | TC-SAM | |||||
318 | Interference management | SC-SAM-INTF | T-SP | TC-SAM | |||||
320 | Signal processing for communication | SC-COM | T-SP | TC-SPCOM | |||||
321 | Signal modulation and encoding | SC-COM-MODU | T-SP | TC-SPCOM | icassp | ||||
322 | Signal detection, estimation, demodulation and decoding | SC-COM-DETC | T-SP | TC-SPCOM | icassp | ||||
323 | Channel modeling and estimation | SC-COM-CHAN | T-SP | TC-SPCOM | icassp | ||||
324 | Machine learning for communications | SC-COM-ML | T-SP | TC-SPCOM | icassp | ||||
325 | Information theory | SC-COM-INFO | T-SP | TC-SPCOM | icassp | ||||
326 | Physical layer security | SC-COM-PHYS | T-SP | TC-SPCOM | icassp | ||||
327 | MIMO and massive MIMO communication | SC-COM-MIMO | T-SP | TC-SPCOM | icassp | ||||
328 | mmWave, UWB and THz communication | SC-COM-WAVE | T-SP | TC-SPCOM | |||||
329 | Interference management in communications / networked systems | SC-COM-INFTF | T-SP | TC-SPCOM | |||||
32A | Low latency communication | SC-COM-LATE | T-SP | TC-SPCOM | icassp | ||||
32B | Energy aware communication | SC-COM-ENGY | T-SP | TC-SPCOM | icassp | ||||
330 | Signal processing for networks and distributed systems | SC-NET | T-SIPN | TC-SPCOM | icassp | ||||
331 | Network modeling and identification | SC-NET-MODL | T-SIPN | TC-SPCOM | |||||
332 | Network resource management | SC-NET-RESC | T-SIPN | TC-SPCOM | icassp | ||||
333 | Network design | SC-NET-DESG | T-SIPN | TC-SPCOM | |||||
334 | Network security | SC-NET-SECR | T-SIPN | TC-SPCOM | |||||
335 | Decision making over networks | SC-NET-DESC | T-SIPN | TC-SPCOM | |||||
336 | Edge, sensor and ad-hoc networks | SC-NET-ADHC | T-SIPN | TC-SPCOM | icassp | ||||
337 | Cooperative networking / cognitive radio | SC-NET-COOP | T-SIPN | TC-SPCOM | icassp | ||||
338 | Internet of things | SC-NET-IOT | T-SIPN | TC-SPCOM | |||||
340 | Distributed processing | SC-DIS | T-SIPN | TC-SPCOM | icassp | ||||
341 | Modeling and analysis of distributed systems | SC-DIS-ANLS | T-SIPN | TC-SPCOM | |||||
342 | Distributed detection and estimation | SC-DIS-ESTI | T-SIPN | TC-SPCOM | |||||
343 | Distributed information processing | SC-DIS-INFO | T-SIPN | TC-SPCOM | |||||
344 | Distributed localization and target tracking | SC-DIS-LOCL | T-SIPN | TC-SPCOM | |||||
345 | Machine learning over distributed networks | SC-DIS-ML | T-SIPN | TC-SPCOM | icassp | ||||
350 | Integrated sensing and communication | SC-ISC | T-SP | TC-SPCOM/TC-SAM | icassp | ||||
351 | Theory and performance limits for ISAC | SC-ISC-PERF | T-SP | TC-SPCOM/TC-SAM | |||||
352 | Signalling and waveform design for ISAC | SC-ISC-MODU | T-SP | TC-SPCOM/TC-SAM | |||||
353 | Detection, estimation and demodulation for ISAC | SC-ISC-ESTI | T-SP | TC-SPCOM/TC-SAM | |||||
354 | MIMO and distributed MIMO architectures for ISAC | SC-ISC-MIMO | T-SP | TC-SPCOM/TC-SAM | |||||
355 | Security and privacy issues in ISAC | SC-ISC-PRIV | T-SP | TC-SPCOM/TC-SAM | |||||
356 | Hardware-/energy-efficient technologies, and experimentation of ISAC systems | SC-ISC-HRDW | T-SP | TC-SPCOM/TC-SAM | |||||
360 | Remote sensing, radar and sonar signal processing | SC-RAS | T-SP | TC-SAM | icassp | ||||
361 | Space-time adaptive methods | SC-RAS-STAP | T-SP | TC-SAM | |||||
362 | Synthetic aperture sensing | SC-RAS-SYNT | T-SP | TC-SAM | |||||
363 | MIMO radar and waveform design | SC-RAS-MIMO | T-SP | TC-SAM | icassp | ||||
364 | Distributed processing | SC-RAS-DIST | T-SP | TC-SAM | |||||
365 | Cognitive radar | SC-RAS-COGN | T-SP | TC-SAM | |||||
366 | Passive radar | SC-RAS-PASV | T-SP | TC-SAM | |||||
367 | System resource management | SC-RAS-RESC | T-SP | TC-SAM | |||||
368 | Sonar and underwater signal processing | SC-RAS-SONR | T-SP | TC-SAM | |||||
370 | Applications and other topics in signal processing for sensing and communication | SC-APP | T-SP | TC-SPCOM/TC-SAM | |||||
371 | Sensor arrays for medical signal and image processing | SC-APP-MEDI | T-SP | TC-SAM | icassp | ||||
372 | Acoustic and microphone array processing | SC-APP-MICR | T-SP | TC-SAM | icassp | ||||
373 | Geophysical and seismic signal processing | SC-APP-GEOS | T-SP | TC-SAM | icassp | ||||
374 | Non-wave based array processing | SC-APP-NWAV | T-SP | TC-SAM | icassp | ||||
375 | Non-terrestrial communications | SC-APP-NTER | T-SP | TC-SPCOM | icassp | ||||
376 | Optical wireless communication | SC-APP-OPTI | T-SP | TC-SPCOM | icassp | ||||
377 | Quantum communication | SC-APP-QUAN | T-SP | TC-SPCOM | icassp | ||||
378 | Intelligent surfaces | SC-APP-SURF | T-SP | TC-SPCOM/TC-SAM | icassp | ||||
379 | Other topics in signal processing for sensing and communication | SC-APP-OTHR | T-SP | TC-SPCOM/TC-SAM | icassp |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
400 | 4 | BI | T-SP/T-IP | TC-BISP | icassp | icip | |||
410 | Medical imaging | BI-MED | T-IP | TC-BISP | icip | ||||
411 | Medical image formation, reconstruction and restoration | BI-MED-FORM | T-IP | TC-BISP | icassp | ||||
412 | Medical image analysis | BI-MED-ANLS | T-IP | TC-BISP | icassp | icip | |||
413 | Multimodal medical image fusion and analysis | BI-MED-FUSE | T-IP | TC-BISP | icassp | ||||
420 | Biological imaging | BI-BIO | T-IP | TC-BISP | icip | ||||
421 | Biological image formation, reconstruction and restoration | BI-BIO-FORM | T-IP | TC-BISP | icassp | ||||
422 | Biological image analysis | BI-BIO-ANLS | T-IP | TC-BISP | icassp | icip | |||
430 | Biomedical signal processing | BI-BSP | T-SP | TC-BISP | |||||
431 | Physiological and wearable signal processing | BI-BSP-PHYS | T-SP | TC-BISP | icassp | ||||
432 | Neural signals | BI-BSP-NEUR | T-SP | TC-BISP | icassp | ||||
440 | Brain/human-computer interfaces | BI-BCI | T-SP | TC-BISP | icassp | icip | |||
450 | Bioinformatics | BI-INF | T-SP | TC-BISP | icassp | ||||
460 | Applications and emerging methods in biomedical image and signal processing | BI-APP | T-SP | TC-BISP | icassp | icip |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
500 | 5 | IV | T-IP | TC-IVMSP | icassp | icip | |||
510 | Image and video sensing, modeling, and representation | IV-SMR | T-IP | TC-IVMSP | icip | ||||
511 | Image and video sensing and acquisition | IV-SMR-ACQN | T-IP | TC-IVMSP | icassp | icip | |||
512 | Statistical-model based methods for image and video | IV-SMR-STAT | T-IP | TC-IVMSP | icassp | icip | |||
513 | Structural-model based methods for image and video | IV-SMR-STRC | T-IP | TC-IVMSP | icassp | icip | |||
514 | Image and video representation | IV-SMR-REPR | T-IP | TC-IVMSP | icassp | icip | |||
515 | Perception and quality models for images and video | IV-SMR-PERC | T-IP | TC-IVMSP | icassp | icip | |||
516 | Machine learning for image and video sensing, modeling and representation | IV-SMR-ML | T-IP | TC-IVMSP | icip | ||||
520 | Image and video processing techniques | IV-TEC | T-IP | TC-IVMSP | icip | ||||
521 | Linear and nonlinear filtering of images and video | IV-TEC-FILT | T-IP | TC-IVMSP | icip | ||||
522 | Partial differential equation based processing of images and video | IV-TEC-PDE | T-IP | TC-IVMSP | icip | ||||
523 | Multiresolution processing of images and video | IV-TEC-MULT | T-IP | TC-IVMSP | icip | ||||
524 | Restoration and enhancement of images and video | IV-TEC-REST | T-IP | TC-IVMSP | icip | ||||
525 | Interpolation, super-resolution, and mosaicing of images and video | IV-TEC-INTP | T-IP | TC-IVMSP | icip | ||||
526 | Biomedical and biological image processing | IV-TEC-BIOM | T-IP | TC-IVMSP | icassp | icip | |||
527 | Machine learning for image and video processing | IV-TEC-ML | T-IP | TC-IVMSP | icassp | icip | |||
530 | Image and video communications | IV-COM | T-IP | TC-IVMSP | icip | ||||
531 | Image and video coding | IV-COM-CODE | T-IP | TC-IVMSP | icassp | icip | |||
532 | Imaging and video communication networks | IV-COM-NETW | T-IP | TC-IVMSP | icassp | icip | |||
533 | Image and video processing for watermarking and security | IV-COM-SECU | T-IP | TC-IVMSP | icassp | icip | |||
534 | Image and video multimedia communications | IV-COM-MCOM | T-IP | TC-IVMSP | icassp | icip | |||
535 | Machine learning for image and video communication | IV-COM-ML | T-IP | TC-IVMSP | icassp | icip | |||
540 | Image and video analysis, synthesis, and retrieval | IV-ANA | T-IP | TC-IVMSP | icip | ||||
541 | Image and video content analysis | IV-ANA-CONT | T-IP | TC-IVMSP | icassp | icip | |||
542 | Image and video mid level analysis | IV-ANA-ANLS | T-IP | TC-IVMSP | icip | ||||
543 | Image and video interpretation and understanding | IV-ANA-INTR | T-IP | TC-IVMSP | icip | ||||
544 | Image and video biometric analysis | IV-ANA-BIMA | T-IP | TC-IVMSP | icip | ||||
545 | Image and video storage and retrieval | IV-ANA-STOR | T-IP | TC-IVMSP | icassp | icip | |||
546 | Image and video synthesis, rendering, and visualization | IV-ANA-SYNT | T-IP | TC-IVMSP | icassp | icip | |||
547 | Region, boundary, texture and shape analysis | IV-ANA-SHAP | T-IP | TC-IVMSP | icip | ||||
548 | Machine learning for image and video analysis, synthesis, and retrieval | IV-ANA-ML | T-IP | TC-IVMSP | icip | ||||
550 | Three-dimensional image and video analysis and processing | IV-3D | T-IP | TC-IVMSP | icassp | icip | |||
551 | Light-field image processing and compression | IV-3D-LIGH | T-IP | TC-IVMSP | icip | ||||
552 | 3D image and video analysis and compression | IV-3D-ANLS | T-IP | TC-IVMSP | icip | ||||
553 | 3D video processing | IV-3D-PROC | T-IP | TC-IVMSP | icip | ||||
554 | Stereoscopic and multiview processing, display and coding | IV-3D-STER | T-IP | TC-IVMSP | icassp | icip | |||
555 | Point cloud processing | IV-3D-POIN | T-IP | TC-IVMSP | icip | ||||
556 | Image and video augmented and virtual reality | IV-3D-ARVR | T-IP | TC-IVMSP | icip | ||||
557 | Machine learning for 3D image and video processing | IV-3D-ML | T-IP | TC-IVMSP | icip | ||||
560 | Electronic imaging | IV-ELI | T-IP | TC-IVMSP | icip | ||||
561 | Image scanning and capture | IV-ELI-SCAN | T-IP | TC-IVMSP | icassp | icip | |||
562 | Color and multispectral imaging | IV-ELI-COLR | T-IP | TC-IVMSP | icassp | icip | |||
563 | Scanned document analysis, processing, and coding | IV-ELI-ANLS | T-IP | TC-IVMSP | icassp | icip | |||
564 | Hardware and software systems for image and video processing | IV-ELI-HRDW | T-IP | TC-IVMSP | icassp | icip | |||
565 | Machine learning for electronic imaging | IV-ELI-ML | T-IP | TC-IVMSP | icip | ||||
570 | Applications and other topics in image, video and multidimensional signal processing | IV-APP | T-IP | TC-IVMSP | icassp | icip | |||
571 | Remote sensing images | IV-APP-RMOT | T-IP | TC-IVMSP |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
600 | 6 | CI | T-CI | TC-CI | icassp | icip | |||
610 | Computational imaging methods and models | CI-TEC | T-CI | TC-CI | icassp | icip | |||
611 | Sparse, low-rank, and low-dimensional models for computational imaging | CI-TEC-SPAR | T-CI | TC-CI | icassp | icip | |||
612 | Statistical and graphical image models | CI-TEC-STAT | T-CI | TC-CI | icip | ||||
613 | Machine learning-based methods for computational imaging | CI-TEC-ML | T-CI | TC-CI | icassp | icip | |||
614 | Optimization-based inversion methods | CI-TEC-OPTI | T-CI | TC-CI | icip | ||||
615 | Multi-image methods and sensor fusion | CI-TEC-FUSE | T-CI | TC-CI | icip | ||||
616 | Superresolution and inpainting methods for inverse problems | CI-TEC-INVR | T-CI | TC-CI | icip | ||||
617 | Performance assessment and uncertainty quantification for computational imaging | CI-TEC-PERF | T-CI | TC-CI | icip | ||||
618 | Novel regularization methods | CI-TEC-REGU | T-CI | TC-CI | icip | ||||
619 | Other computational imaging methods and models | CI-TEC-OTHR | T-CI | TC-CI | icip | ||||
620 | Computational imaging modalities | CI-MOD | T-CI | TC-CI | icassp | icip | |||
621 | Computational photography | CI-MOD-COMP | T-CI | TC-CI | icassp | icip | |||
622 | Microscopic and nanoscopic imaging | CI-MOD-NANO | T-CI | TC-CI | icip | ||||
623 | Spectral imaging | CI-MOD-SPEC | T-CI | TC-CI | icip | ||||
624 | Tomographic imaging | CI-MOD-TOMO | T-CI | TC-CI | icip | ||||
625 | Magnetic resonance imaging | CI-MOD-MRI | T-CI | TC-CI | icip | ||||
626 | Acoustic and ultrasound imaging | CI-MOD-ACUS | T-CI | TC-CI | icip | ||||
627 | Radar/microwave and radio imaging | CI-MOD-RADI | T-CI | TC-CI | icip | ||||
628 | Lidar imaging | CI-MOD-LIDA | T-CI | TC-CI | icip | ||||
629 | Seismic imaging | CI-MOD-SEIS | T-CI | TC-CI | icip | ||||
62A | Coherent, holographic, and speckle imaging | CI-MOD-HOLO | T-CI | TC-CI | icip | ||||
62B | Other/novel computational imaging modalities | CI-MOD-OTHR | T-CI | TC-CI | icip | ||||
630 | Computational imaging hardware and algorithms | CI-HWR | T-CI | TC-CI | icassp | icip | |||
631 | High-performance computing for computational imaging | CI-HWR-HIPC | T-CI | TC-CI | icip | ||||
632 | Fast algorithms for computational imaging | CI-HWR-FAST | T-CI | TC-CI | icip | ||||
633 | Integrated hardware and algorithm design | CI-HWR-ALGS | T-CI | TC-CI | icip | ||||
634 | Computational imaging with novel sensors and acquisition methods | CI-HWR-ACQN | T-CI | TC-CI | icip | ||||
640 | Applications and other topics in computational imaging | CI-APP | T-CI | TC-CI | icassp | icip |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
700 | 7 | MM | T-MM | TC-MMSP | icassp | ||||
710 | Multimedia creation and synthesis | MM-SYN | T-MM | TC-MMSP | |||||
711 | Multimedia acquisition and sensor technology | MM-SYN-ACQN | T-MM | TC-MMSP | |||||
712 | Multimedia synthesis and rendering | MM-SYN-REND | T-MM | TC-MMSP | icassp | ||||
713 | Human centric multimedia synthesis and generation | MM-SYN-HUMN | T-MM | TC-MMSP | |||||
714 | Object centric multimedia synthesis and generation | MM-SYN-OBJC | T-MM | TC-MMSP | |||||
720 | Multimedia architecture design and systems | MM-SYS | T-MM | TC-MMSP | |||||
721 | Display technology for multimedia | MM-SYS-DISP | T-MM | TC-MMSP | |||||
722 | Large-scale multimedia systems and benchmarking | MM-SYS-LARG | T-MM | TC-MMSP | |||||
723 | Mobile media technology and systems | MM-SYS-MOBI | T-MM | TC-MMSP | |||||
724 | System design and optimization | MM-SYS-OPTI | T-MM | TC-MMSP | |||||
725 | Architectures and design techniques | MM-SYS-ARCH | T-MM | TC-MMSP | |||||
726 | Frugal and green multimedia | MM-SYS-ENGY | T-MM | TC-MMSP | icassp | ||||
730 | Multi-modal processing, analysis and synthesis | MM-MOD | T-MM | TC-MMSP | |||||
731 | Multi-modal signal processing and analysis | MM-MOD-ANLS | T-MM | TC-MMSP | icassp | ||||
732 | Machine/deep learning methodologies for multimedia | MM-MOD-ML | T-MM | TC-MMSP | icassp | ||||
733 | Generative/large multi-modal models | MM-MOD-GENM | T-MM | TC-MMSP | icassp | ||||
734 | Distributed multimedia processing and Internet-of-Things | MM-MOD-DIST | T-MM | TC-MMSP | |||||
735 | Multimedia understanding | MM-MOD-UNDE | T-MM | TC-MMSP | icassp | ||||
740 | Multimedia compression, transmission and security | MM-COM | T-MM | TC-MMSP | icassp | ||||
741 | Multimedia compression, coding, conversion, and transcoding | MM-COM-CODE | T-MM | TC-MMSP | |||||
742 | Multimedia communications and streaming | MM-COM-COMM | T-MM | TC-MMSP | |||||
743 | Learning-based multimedia compression | MM-COM-ML | T-MM | TC-MMSP | |||||
744 | Multimedia over networks | MM-COM-NETW | T-MM | TC-MMSP | |||||
745 | Multimedia security and watermarking | MM-COM-SECU | T-MM | TC-MMSP | |||||
746 | Video surveillance and semantic analysis | MM-COM-SURV | T-MM | TC-MMSP | |||||
750 | Multimedia standardization | MM-STD | T-MM | TC-MMSP | |||||
751 | Media and data compression standardization | MM-STD-CODE | T-MM | TC-MMSP | |||||
752 | Media transmission and communication standardization | MM-STD-COMM | T-MM | TC-MMSP | |||||
753 | Media description and representation standardization | MM-STD-REPR | T-MM | TC-MMSP | |||||
754 | Media display standards | MM-STD-DISP | T-MM | TC-MMSP | |||||
755 | Metaverse media processing standardization | MM-STD-META | T-MM | TC-MMSP | |||||
760 | Multimedia environments and user experience | MM-USR | T-MM | TC-MMSP | |||||
761 | Human-centric multimedia and human-machine interaction | MM-USR-MHMI | T-MM | TC-MMSP | |||||
762 | Immersive and 3D multimedia processing and coding | MM-USR-IMRS | T-MM | TC-MMSP | icassp | ||||
763 | Quality of experience | MM-USR-QUAL | T-MM | TC-MMSP | icassp | ||||
764 | Audio-visual-haptic environments | MM-USR-HAPT | T-MM | TC-MMSP | |||||
765 | Multimodal telepresence and collaboration | MM-USR-TELE | T-MM | TC-MMSP | |||||
770 | Multimedia information retrieval and datasets | MM-DAT | T-MM | TC-MMSP | icassp | ||||
771 | Multimedia search and retrieval | MM-DAT-SEAR | T-MM | TC-MMSP | |||||
772 | Multimedia datasets | MM-DAT-SETS | T-MM | TC-MMSP | |||||
773 | Knowledge and semantics modeling for multimedia databases | MM-DAT-KNOW | T-MM | TC-MMSP | |||||
774 | Media preservation | MM-DAT-PRSV | T-MM | TC-MMSP | |||||
775 | Validation, quality assessment and corpora for media search | MM-DAT-QUAL | T-MM | TC-MMSP | |||||
776 | Social and web multimedia | MM-DAT-SOCL | T-MM | TC-MMSP | |||||
780 | Applications in multimedia (healthcare, education, art, distributed multimedia, etc.) | MM-APP | T-MM | TC-MMSP | icassp | ||||
781 | Multimedia in healthcare, education, art, and social sciences | MM-APP-SOCS | T-MM | TC-MMSP | |||||
782 | Multimedia perception and processing for autonomous systems | MM-APP-AUTO | T-MM | TC-MMSP | icassp | ||||
783 | Other multimedia areas | MM-APP-OTHR | T-MM | TC-MMSP |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
800 | 8 | IF | T-IFS | TC-IFS | icassp | icip | |||
810 | Applied cryptography | IF-CRY | T-IFS | TC-IFS | icassp | ||||
811 | Secure computation using homomorphic encryption | IF-CRY-HOMO | T-IFS | TC-IFS | |||||
812 | Secure computation using secret sharing | IF-CRY-SHAR | T-IFS | TC-IFS | |||||
813 | Multimedia encryption | IF-CRY-MM | T-IFS | TC-IFS | |||||
814 | Searchable encryption | IF-CRY-SEAR | T-IFS | TC-IFS | |||||
820 | Watermarking and data hiding | IF-WAT | T-IFS | TC-IFS | icassp | icip | |||
821 | Theoretical models | IF-WAT-MODL | T-IFS | TC-IFS | |||||
822 | Steganography and steganalysis | IF-WAT-STEG | T-IFS | TC-IFS | |||||
830 | Anonymization and data privacy | IF-PRV | T-IFS | TC-IFS | icassp | ||||
831 | Privacy protection | IF-PRV-PROT | T-IFS | TC-IFS | |||||
832 | Privacy attacks | IF-PRV-ATTC | T-IFS | TC-IFS | |||||
833 | Application and systems | IF-PRV-APPL | T-IFS | TC-IFS | |||||
834 | Differential privacy | IF-PRV-DIFF | T-IFS | TC-IFS | |||||
840 | Multimedia forensics | IF-FOR | T-IFS | TC-IFS | icassp | icip | |||
841 | Text fingerprinting | IF-FOR-TEXT | T-IFS | TC-IFS | |||||
842 | Audio forensics | IF-FOR-AUD | T-IFS | TC-IFS | |||||
843 | Image forensics | IF-FOR-IMAG | T-IFS | TC-IFS | |||||
844 | Video forensics | IF-FOR-VID | T-IFS | TC-IFS | |||||
845 | Multimedia content hash functions | IF-FOR-HASH | T-IFS | TC-IFS | icip | ||||
846 | Multimedia security analysis and benchmarking | IF-FOR-ANLS | T-IFS | TC-IFS | |||||
847 | Multimedia content authentication and plagiarism detection | IF-FOR-AUTH | T-IFS | TC-IFS | |||||
850 | Machine learning for information forensics and security | IF-ML | T-IFS | TC-IFS | icassp | icip | |||
851 | Adversarial machine learning | IF-ML-ADVE | T-IFS | TC-IFS | icassp | ||||
852 | AI for security and forensics | IF-ML-SECY | T-IFS | TC-IFS | |||||
853 | Security and forensics for AI | IF-ML-AI | T-IFS | TC-IFS | |||||
860 | Biometrics | IF-BIO | T-IFS | TC-IFS | icassp | icip | |||
861 | Iris/ocular biometrics | IF-BIO-IRIS | T-IFS | TC-IFS | |||||
862 | Face biometrics | IF-BIO-FACE | T-IFS | TC-IFS | |||||
863 | Other biometrics | IF-BIO-OTHR | T-IFS | TC-IFS | |||||
864 | Biometrics security and privacy | IF-BIO-SECY | T-IFS | TC-IFS | |||||
865 | Biometric modalities | IF-BIO-MODY | T-IFS | TC-IFS | |||||
870 | Cybersecurity | IF-SEC | T-IFS | TC-IFS | icassp | ||||
871 | Hardware security | IF-SEC-HRDW | T-IFS | TC-IFS | icassp | ||||
872 | Network security | IF-SEC-NETW | T-IFS | TC-IFS | icassp | ||||
873 | System security | IF-SEC-SYST | T-IFS | TC-IFS | icassp | ||||
874 | Communication and information theoretic security | IF-SEC-COMM | T-IFS | TC-IFS | icassp | ||||
880 | Surveillance | IF-SUR | T-IFS | TC-IFS | icassp | icip | |||
881 | Privacy in surveillance | IF-SUR-PRIV | T-IFS | TC-IFS | |||||
882 | Object and event detection and recognition | IF-SUR-DETC | T-IFS | TC-IFS | |||||
890 | Applications and other topics in forensics and security | IF-APP | T-IFS | TC-IFS | icassp | icip |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
900 | 9 | AA | T-ASLP | TC-AASP | icassp | ||||
910 | Audio signal processing | AA-AUD | T-ASLP | TC-AASP | |||||
911 | Signal enhancement, restoration, and extraction | AA-AUD-SEN | T-ASLP | TC-AASP | icassp | ||||
912 | Audio and speech source separation | AA-AUD-SEP | T-ASLP | TC-AASP | icassp | ||||
913 | Audio and speech coding, transmission, and representations | AA-AUD-COMM | T-ASLP | TC-AASP | icassp | ||||
914 | Audio and speech quality and intelligibility measures | AA-AUD-QUAL | T-ASLP | TC-AASP | icassp | ||||
915 | Auditory modeling and hearing instruments | AA-AUD-MODL | T-ASLP | TC-AASP | icassp | ||||
916 | System identification and dereverberation | AA-AUD-IDEN | T-ASLP | TC-AASP | icassp | ||||
917 | Acoustic sensor array processing | AA-AUD-ARRY | T-ASLP | TC-AASP | icassp | ||||
918 | Fundamental theory and algorithms for audio and acoustic signal processing | AA-AUD-METH | T-ASLP | TC-AASP | icassp | ||||
920 | Acoustic scenes and events | AA-SCE | T-ASLP | TC-AASP | |||||
921 | Audio captioning, retrieval, and understanding | AA-SCE-CAPT | T-ASLP | TC-AASP | icassp | ||||
922 | Sound event and anomaly detection and sound scene classification | AA-SCE-DETC | T-ASLP | TC-AASP | icassp | ||||
923 | Sound generation and synthesis | AA-SCE-SYNT | T-ASLP | TC-AASP | icassp | ||||
930 | Acoustic environment processing | AA-ENV | T-ASLP | TC-AASP | |||||
931 | Modeling, analysis, and synthesis of acoustic environments | AA-ENV-CHAN | T-ASLP | TC-AASP | icassp | ||||
932 | Spatial audio recording and reproduction | AA-ENV-ACQN | T-ASLP | TC-AASP | icassp | ||||
933 | Active noise control; acoustic echo and feedback cancellation | AA-ENV-ECHO | T-ASLP | TC-AASP | icassp | ||||
940 | Music analysis, processing, and generation | AA-MUS | T-ASLP | TC-AASP | |||||
941 | Music analysis | AA-MUS-ANLS | T-ASLP | TC-AASP | icassp | ||||
942 | Music signal processing, production, and separation | AA-MUS-PROC | T-ASLP | TC-AASP | icassp | ||||
943 | Audio- and symbolic-domain music generation and content creation | AA-MUS-MGEN | T-ASLP | TC-AASP | icassp | ||||
950 | Applications and other topics in audio and acoustic signal processing | AA-APP | T-ASLP | TC-AASP | |||||
951 | Bioacoustics and medical acoustics | AA-APP-BIO | T-ASLP | TC-AASP | icassp | ||||
952 | Audio security | AA-APP-SEC | T-ASLP | TC-AASP | icassp | ||||
953 | Audio for video and multimedia | AA-APP-VIMM | T-ASLP | TC-AASP | icassp | ||||
954 | Data and open source for audio and acoustic signal processing | AA-APP-DATA | T-ASLP | TC-AASP | icassp |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
A00 | 10 | SL | T-ASLP | TC-SLP | icassp | ||||
A10 | Human language processing | SL-HLT | T-ASLP | TC-SLP | |||||
A11 | Discourse and dialog | SL-HLT-DIAL | T-ASLP | TC-SLP | icassp | ||||
A12 | Language understanding and computational semantics | SL-HLT-UNDE | T-ASLP | TC-SLP | icassp | ||||
A13 | Spoken document retrieval and summarization | SL-HLT-SUMM | T-ASLP | TC-SLP | icassp | ||||
A14 | Segmentation, tagging, and parsing of language | SL-HLT-PARS | T-ASLP | TC-SLP | icassp | ||||
A15 | Summarization, retrieval and language learning | SL-HLT-LEAR | T-ASLP | TC-SLP | icassp | ||||
A16 | Machine Learning for natural language processing | SL-HLT-ML | T-ASLP | TC-SLP | icassp | ||||
A17 | Generation in natural language processing | SL-HLT-GEN | T-ASLP | TC-SLP | icassp | ||||
A18 | Question answering | SL-HLT-QUES | T-ASLP | TC-SLP | icassp | ||||
A20 | Multi-modal/cross-modal speech and language processing | SL-MM | T-ASLP | TC-SLP | icassp | ||||
A21 | Audio-visual speech/intent recognition | SL-MM-RECO | T-ASLP | TC-SLP | |||||
A22 | Cross-modal processing of language | SL-MM-XMOD | T-ASLP | TC-SLP | |||||
A23 | Multimodal processing of language | SL-MM-LANG | T-ASLP | TC-SLP | |||||
A24 | Multimodal processing of speech | SL-MM-SPE | T-ASLP | TC-SLP | |||||
A30 | Speaker recognition, identification and verification | SL-SPR | T-ASLP | TC-SLP | |||||
A31 | Speaker diarization and identification | SL-SPR-IDEN | T-ASLP | TC-SLP | icassp | ||||
A32 | Speaker verification | SL-SPR-VERI | T-ASLP | TC-SLP | icassp | ||||
A33 | Speaker anti-spoofing | SL-SPR-SPFG | T-ASLP | TC-SLP | icassp | ||||
A40 | Speech enhancement and extraction | SL-ENH | T-ASLP | TC-SLP | icassp | ||||
A41 | Self-supervised learning for speech processing | SL-ENH-LEAR | T-ASLP | TC-SLP | |||||
A42 | Speech analysis - pitch and spectrum | SL-ENH-ANLS | T-ASLP | TC-SLP | |||||
A43 | Speech analysis and enhancement | SL-ENH-ENHA | T-ASLP | TC-SLP | |||||
A44 | Speech coding and compression | SL-ENH-CODI | T-ASLP | TC-SLP | |||||
A45 | Speech separation and extraction | SL-ENH-SSEP | T-ASLP | TC-SLP | |||||
A46 | Voice, speech and language disorder | SL-ENH-DISO | T-ASLP | TC-SLP | |||||
A50 | Speech event detection | SL-EVT | T-ASLP | TC-SLP | icassp | ||||
A51 | Keyword and voice activity detection | SL-EVT-VAD | T-ASLP | TC-SLP | |||||
A52 | Non-speech acoustic event detection | SL-EVT-ACOU | T-ASLP | TC-SLP | |||||
A53 | Speaker change detection | SL-EVT-CHNG | T-ASLP | TC-SLP | |||||
A54 | Speech emotion recognition | SL-EVT-EMO | T-ASLP | TC-SLP | icassp | ||||
A60 | Speech generation | SL-GEN | T-ASLP | TC-SLP | |||||
A61 | Speaker anonymization | SL-GEN-ANO | T-ASLP | TC-SLP | |||||
A62 | Speech/singing voice conversion and cloning | SL-GEN-CONV | T-ASLP | TC-SLP | icassp | ||||
A63 | Text-to-speech generation | SL-GEN-TEXT | T-ASLP | TC-SLP | icassp | ||||
A64 | Neural vocoder and codec | SL-GEN-CODE | T-ASLP | TC-SLP | icassp | ||||
A65 | Audio/music/singing voice generation | SL-GEN-MUSI | T-ASLP | TC-SLP | icassp | ||||
A66 | Watermarking and anti-spoofing | SL-GEN-SPFG | T-ASLP | TC-SLP | icassp | ||||
A70 | Speech processing resources | SL-DAT | T-ASLP | TC-SLP | icassp | ||||
A71 | Data sets for speech processing | SL-DAT-SETS | T-ASLP | TC-SLP | |||||
A72 | Language resources, metrics and systems | SL-DAT-SYST | T-ASLP | TC-SLP | |||||
A73 | Resource constrained speech-to-text | SL-DAT-RESC | T-ASLP | TC-SLP | |||||
A80 | Speech recognition | SL-REC | T-ASLP | TC-SLP | icassp | ||||
A81 | Context and language modeling for speech recognition | SL-REC-LMOD | T-ASLP | TC-SLP | |||||
A82 | Language identification | SL-REC-IDEN | T-ASLP | TC-SLP | |||||
A83 | Multilingual speech recognition and identification | SL-REC-LANG | T-ASLP | TC-SLP | icassp | ||||
A84 | Multi-talker speech recognition | SL-REC-MULT | T-ASLP | TC-SLP | icassp | ||||
A85 | Natural language processing for speech recognition | SL-REC-NLP | T-ASLP | TC-SLP | |||||
A86 | New algorithms/approaches for speech-to-text | SL-REC-ALGS | T-ASLP | TC-SLP | |||||
A87 | Speech modeling for speech recognition | SL-REC-SMOD | T-ASLP | TC-SLP | icassp | ||||
A88 | Adaptation and customization for speech-to-text | SL-REC-ADAP | T-ASLP | TC-SLP | icassp | ||||
A89 | Text-based customization for speech-to-text | SL-REC-TEXT | T-ASLP | TC-SLP | |||||
A90 | Speech translation | SL-TRL | T-ASLP | TC-SLP | |||||
A91 | Machine translation of spoken/written language | SL-TRL-ML | T-ASLP | TC-SLP | icassp | ||||
A92 | Natural language processing for speech translation | SL-TRL-NLP | T-ASLP | TC-SLP | |||||
A93 | Text-based customization for speech translation | SL-TRL-TEXT | T-ASLP | TC-SLP | |||||
AA0 | Applications and other topics in speech and language processing | SL-APP | T-ASLP | TC-SLP |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
B00 | 11 | AS | T-SP | TC-ASPS | icassp | ||||
B10 | Integrating signal processing and computing | AS-CMP | T-SP | TC-ASPS | |||||
B11 | Quantum and quantum-inspired signal processing | AS-CMP-QUAN | T-SP | TC-ASPS | icassp | ||||
B12 | Neuromorphic computing | AS-CMP-NEUR | T-SP | TC-ASPS | icassp | ||||
B13 | Edge and embedded computing | AS-CMP-EDGE | T-SP | TC-ASPS | icassp | ||||
B14 | Energy-aware computing | AS-CMP-ENGY | T-SP | TC-ASPS | icassp | ||||
B15 | Hardware accelerators | AS-CMP-HRDW | T-SP | TC-ASPS | icassp | ||||
B16 | Resource-efficient machine learning | AS-CMP-RESC | T-SP | TC-ASPS | icassp | ||||
B17 | Signal processing and generative AI systems | AS-CMP-GPT | T-SP | TC-ASPS | icassp | ||||
B18 | Processing-in-memory signal processing systems | AS-CMP-PIM | T-SP | TC-ASPS | icassp | ||||
B20 | Signal processing application systems | AS-APP | T-SP | TC-ASPS | |||||
B21 | Autonomous systems | AS-APP-AUTO | T-SP | TC-ASPS | icassp | ||||
B22 | Internet of things | AS-APP-IOT | T-SP | TC-ASPS | icassp | ||||
B23 | Robotics | AS-APP-ROBO | T-SP | TC-ASPS | icassp | ||||
B24 | Radar, sonar and acoustic systems | AS-APP-RADR | T-SP | TC-ASPS | icassp | ||||
B25 | Safe and trustworthy systems | AS-APP-SAFE | T-SP | TC-ASPS | icassp | ||||
B26 | Applications of generative AI and foundation models | AS-APP-GPT | T-SP | TC-ASPS | icassp | ||||
B27 | Other emerging topics in signal processing systems | AS-APP-OTHR | T-SP | TC-ASPS | icassp |
Sortcode | L0 | Level - 1 | Level - 2 | Level - 3 | Mnemonics | Journal | TC | ICASSP 2025 | ICIP 2025 |
---|---|---|---|---|---|---|---|---|---|
C00 | 12 | ED | T-SP | SPEB | icassp | ||||
C10 | Curriculum development | ED-CUR | T-SP | SPEB | icassp | ||||
C20 | Resouces and tools for signal processing education | ED-RES | T-SP | SPEB | icassp | ||||
C30 | Pedagogical models for signal processing education | ED-MOD | T-SP | SPEB | icassp | ||||
C40 | Case studies in signal processing education | ED-APP | T-SP | SPEB | icassp |
Journal Acronym Key | ||
---|---|---|
TP-SP | Transactions on Signal Processing | https://signalprocessingsociety.org/publications-resources/ieee-transactions-signal-processing/edics |
T-ASLP | IEEE/ACM Transactions on Audio Speech and Language Processing | https://signalprocessingsociety.org/publications-resources/ieeeacm-transactions-audio-speech-and-language-processing/edics |