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IEEE Signal Processing Society Technical Topic Areas

Unified EDICS (Editors Information Classification Scheme)

Approved: April 2025

IEEE Signal Processing Society (SPS) maintains one set of technical topic areas across all technical activities, often referred to as the Unified EDICS list. This list is used as a basis for all topics under each of the technical committees, flagship conferences, and solely sponsored journals. This list may be updated once a year each April, with agreement by both the Editors-in-Chief (EICs) and Technical Committee (TC) Chairs responsible for the topic area, and approved by the SPS Executive Committee. Changes may not be requested or made outside of this annual cycle. For more information, please contact sp-info@ieee.org.

 

  1. Signal Processing Theory and Methods
  2. Machine Learning in Signal Processing
  3. Signal Processing for Sensing and Communication
  4. Biomedical Signal and Image Processing
  5. Image, Video and Multidimensional Signal Processing
  6. Computational Imaging
  7. Multimedia Signal Processing
  8. Information Forensics and Security
  9. Audio and Acoustic Signal Processing
  10. Speech and Language Processing
  11. Applied Signal Processing Systems
  12. Signal Processing Education

 

 

Signal Processing Theory and Methods
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Signal Processing Theory and Methods T-SP/T-SIPN SPTM ✅  
  Digital signal processing T-SP SPTM    
    Signal and system modeling T-SP SPTM ✅  
    Sampling theory T-SP SPTM ✅  
    Transforms T-SP SPTM ✅  
    Filtering T-SP SPTM ✅  
    Multidimensional signal processing T-SP SPTM    
    Multirate signal processing and filter banks  T-SP SPTM    
    Time-frequency and multiresolution analysis T-SP SPTM ✅  
    Quantization   T-SP SPTM    
    Fast algorithms T-SP SPTM    
  Statistical signal processing T-SP SPTM    
    Statistical signal modeling, identification, and analysis T-SP SPTM    
    Spectral analysis and filtering  T-SP SPTM    
    Estimation   T-SP SPTM ✅  
    Detection and classification    T-SP SPTM ✅  
    Bayesian signal processing  T-SP SPTM ✅  
    Robust signal processing T-SP SPTM    
    Sparse and low-dimensional signal recovery T-SP SPTM ✅  
    Nonstationary statistical signal processing T-SP SPTM    
    Random matrix methods   T-SP SPTM    
    Performance analysis and bounds T-SP SPTM    
  Matrix and tensor methods T-SP SPTM    
    Matrix and tensor factorization and completion T-SP SPTM ✅  
    Sparse and non-negative matrices and tensors T-SP SPTM ✅  
    Source separation T-SP SPTM ✅  
    Independent component analysis T-SP SPTM ✅  
    Subspace and manifold learning T-SP SPTM ✅  
    Tensor-based signal processing T-SP SPTM ✅  
  Adaptive signal processing T-SP SPTM ✅  
    Adaptive filter analysis and design T-SP SPTM    
    Frequency domain and subband adaptive filtering T-SP SPTM    
    Fast algorithms T-SP SPTM    
    Tracking T-SP SPTM ✅  
  Optimization methods T-SP SPTM ✅  
    Convex optimization T-SP SPTM    
    Non-convex optimization   T-SP SPTM    
    Distributed optimization T-SP SPTM ✅  
    Sparse optimization T-SP SPTM    
  Graph signal processing T-SP/T-SIPN SPTM ✅  
    Graph signal modeling and analysis T-SP/T-SIPN SPTM    
    Graph modeling and topology identification T-SP/T-SIPN SPTM    
    Sampling theory for graphs T-SP/T-SIPN SPTM    
    Graph filtering and transforms T-SP/T-SIPN SPTM    
    Stochastic graph signal processing T-SP/T-SIPN SPTM    
    Graph-time processing T-SP/T-SIPN SPTM    
    Topological signal processing T-SP/T-SIPN SPTM    
  Distributed signal processing theory and methods T-SP/T-SIPN SPTM ✅  
    Distributed estimation T-SP/T-SIPN SPTM    
    Distributed detection and classification T-SP/T-SIPN SPTM    
    Distributed adaptation T-SP/T-SIPN SPTM    
    Distributed optimization T-SP/T-SIPN SPTM ✅  
  Applications and other topics of signal processing theory and methods T-SP/T-SIPN SPTM ✅  

 

 

Machine Learning in Signal Processing
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Machine Learning for Signal Processing T-SP/T-SIPN MLSP ✅ ✅
  Machine learning paradigms T-SP MLSP    
    Supervised and semi-supervised learning T-SP MLSP ✅  
    Unsupervised learning T-SP MLSP ✅  
    Self-supervised learning T-SP MLSP ✅  
    Online learning T-SP MLSP    
    Adversarial machine learning T-SP MLSP ✅  
    Causal learning T-SP MLSP ✅  
    Continual learning T-SP MLSP    
    Quantum machine learning T-SP MLSP ✅  
  Reinforcement learning T-SP MLSP ✅  
    Deep reinforcement learning T-SP MLSP    
    Policy optimization and policy gradient T-SP MLSP    
    Q-learning T-SP MLSP    
    Inverse reinforcement learning T-SP MLSP    
    Exploration and exploitation T-SP MLSP    
  Deep learning T-SP MLSP    
    Deep learning models T-SP MLSP ✅  
    Deep learning training methods T-SP MLSP ✅  
    Deep generative models T-SP MLSP ✅  
    Graph neural networks T-SIPN MLSP ✅  
    Transfer learning and meta-learning T-SP MLSP ✅  
    Topological deep learning T-SP MLSP ✅  
    Representation learning T-SP MLSP ✅  
  Large-Scale Machine Learning Models        
    Large language models        
    Efficient large-scale model training        
    Adaptation and fine-tuning of large models        
    Multimodal large-scale models        
  Trustworthy and reliable machine learning        
    Robust and trustworthy machine learning T-SP MLSP ✅  
    Explainable and interpretable machine learning T-SP MLSP ✅  
    Distributed and federated learning T-SIPN MLSP ✅  
    Fairness and privacy T-SP MLSP ✅  
    Sustainable machine learning T-SP MLSP ✅  
  Conventional machine learning T-SP MLSP    
    Regression and classification T-SP MLSP    
    Pattern recognition and clustering T-SP MLSP ✅  
    Performance analysis and bounds T-SP MLSP ✅  
    Graphical and kernel methods T-SP MLSP ✅  
    Dictionary learning T-SP MLSP ✅  
    Information theoretic learning T-SP MLSP ✅  
    Bayesian machine learning T-SP MLSP ✅  
    Sequential learning T-SP MLSP ✅  
    Sparsity-aware learning T-SP MLSP ✅  
    Tiny and efficient machine learning T-SP MLSP    
    Feature extraction and selection T-SP MLSP ✅  
  Applications and other topics of machine learning T-SP MLSP   ✅
    Machine learning for time series analysis T-SP MLSP ✅  
    Machine learning for creative arts T-SP MLSP ✅  
    Machine learning for education   MLSP ✅  
    Machine learning for sciences T-SP MLSP ✅  
    Emerging applications of machine learning T-SP MLSP ✅  

 

 

Signal Processing for Sensing and Communication
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Signal Processing for Sensing and Communication T-SP/T-SIPN SPCOM/SAM ✅  
  Array signal processing T-SP SAM    
    Beamforming and source separation T-SP SAM ✅  
    Direction of arrival estimation and source localization T-SP SAM ✅  
    Array calibration T-SP SAM ✅  
    Tracking T-SP SAM ✅  
    Performance analysis and bounds T-SP SAM ✅  
    MIMO and massive MIMO array processing T-SP SAM ✅  
    mmWave, UWB and THz array processing T-SP SAM    
    Interference management T-SP SAM    
  Signal processing for communication T-SP SPCOM    
    Signal modulation and encoding T-SP SPCOM ✅  
    Signal detection, estimation, demodulation and decoding T-SP SPCOM ✅  
    Channel modeling and estimation T-SP SPCOM ✅  
    Machine learning for communications T-SP SPCOM ✅  
    Information theory T-SP SPCOM ✅  
    Physical layer security T-SP SPCOM ✅  
    MIMO and massive MIMO communication T-SP SPCOM ✅  
    mmWave, UWB and THz communication T-SP SPCOM    
    Interference management in communications / networked systems T-SP SPCOM    
    Low latency communication T-SP SPCOM ✅  
    Energy aware communication T-SP SPCOM ✅  
  Signal processing for networks and distributed systems T-SIPN SPCOM ✅  
    Network modeling and identification T-SIPN SPCOM    
    Network resource management T-SIPN SPCOM ✅  
    Network design T-SIPN SPCOM    
    Network security T-SIPN SPCOM    
    Decision making over networks T-SIPN SPCOM    
    Edge, sensor and ad-hoc networks T-SIPN SPCOM ✅  
    Cooperative networking / cognitive radio T-SIPN SPCOM ✅  
    Internet of things T-SIPN SPCOM    
  Distributed processing T-SIPN SPCOM ✅  
    Modeling and analysis of distributed systems T-SIPN SPCOM    
    Distributed detection and estimation T-SIPN SPCOM    
    Distributed information processing T-SIPN SPCOM    
    Distributed localization and target tracking T-SIPN SPCOM    
    Machine learning over distributed networks T-SIPN SPCOM ✅  
  Integrated sensing and communication T-SP SPCOM/SAM ✅  
    Theory and performance limits for ISAC T-SP SPCOM/SAM    
    Signalling and waveform design for ISAC T-SP SPCOM/SAM    
    Detection, estimation and demodulation for ISAC T-SP SPCOM/SAM    
    MIMO and distributed MIMO architectures for ISAC T-SP SPCOM/SAM    
    Security and privacy issues in ISAC T-SP SPCOM/SAM    
    Hardware-/energy-efficient technologies, and experimentation of ISAC systems T-SP SPCOM/SAM    
  Remote sensing, radar and sonar signal processing T-SP SAM ✅  
    Space-time adaptive methods T-SP SAM    
    Synthetic aperture sensing T-SP SAM    
    MIMO radar and waveform design T-SP SAM ✅  
    Distributed processing T-SP SAM    
    Cognitive radar T-SP SAM    
    Passive radar T-SP SAM    
    System resource management T-SP SAM    
    Sonar and underwater signal processing T-SP SAM    
  Applications and other topics in signal processing for sensing and communication T-SP SPCOM/SAM    
    Sensor arrays for medical signal and image processing T-SP SAM ✅  
    Acoustic and microphone array processing T-SP SAM ✅  
    Geophysical and seismic signal processing T-SP SAM ✅  
    Non-wave based array processing T-SP SAM ✅  
    Non-terrestrial communications T-SP SPCOM ✅  
    Optical wireless communication T-SP SPCOM ✅  
    Quantum communication T-SP SPCOM ✅  
    Intelligent surfaces T-SP SPCOM/SAM ✅  
    Other topics in signal processing for sensing and communication T-SP SPCOM/SAM ✅  

 

 

Biomedical Signal and Image Processing
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Biomedical Signal and Image Processing T-SP/T-IP BISP ✅ ✅
  Medical imaging T-IP BISP   ✅
    Medical image formation, reconstruction and restoration  T-IP BISP ✅  
    Medical image analysis T-IP BISP ✅ ✅
    Multimodal medical image fusion and analysis T-IP BISP ✅  
  Biological imaging T-IP BISP   ✅
    Biological image formation, reconstruction and restoration T-IP BISP ✅  
    Biological image analysis T-IP BISP ✅ ✅
  Biomedical signal processing T-SP BISP    
    Physiological and wearable signal processing T-SP BISP ✅  
    Neural signals T-SP BISP ✅  
  Brain/human-computer interfaces T-SP BISP ✅ ✅
  Bioinformatics T-SP BISP ✅  
  Applications and emerging methods in biomedical image and signal processing T-SP BISP ✅ ✅

 

 

Image, Video and Multidimensional Signal Processing
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Image, Video and Multidimensional Signal Processing T-IP IVMSP ✅ ✅
  Image and video sensing, modeling, and representation T-IP IVMSP   ✅
    Image and video sensing and acquisition T-IP IVMSP ✅ ✅
    Statistical-model based methods for image and video T-IP IVMSP ✅ ✅
    Structural-model based methods for image and video T-IP IVMSP ✅ ✅
    Image and video representation T-IP IVMSP ✅ ✅
    Perception and quality models for images and video T-IP IVMSP ✅ ✅
    Machine learning for image and video sensing, modeling and representation T-IP IVMSP   ✅
  Image and video processing techniques T-IP IVMSP   ✅
    Linear and nonlinear filtering of images and video T-IP IVMSP   ✅
    Partial differential equation based processing of images and video T-IP IVMSP   ✅
    Multiresolution processing of images and video T-IP IVMSP   ✅
    Restoration and enhancement of images and video T-IP IVMSP   ✅
    Interpolation, super-resolution, and mosaicing of images and video T-IP IVMSP   ✅
    Biomedical and biological image processing T-IP IVMSP ✅ ✅
    Machine learning for image and video processing T-IP IVMSP ✅ ✅
  Image and video communications T-IP IVMSP   ✅
    Image and video coding T-IP IVMSP ✅ ✅
    Imaging and video communication networks T-IP IVMSP ✅ ✅
    Image and video processing for watermarking and security T-IP IVMSP ✅ ✅
    Image and video multimedia communications T-IP IVMSP ✅ ✅
    Machine learning for image and video communication T-IP IVMSP ✅ ✅
  Image and video analysis, synthesis, and retrieval T-IP IVMSP   ✅
    Image and video content analysis T-IP IVMSP ✅ ✅
    Image and video mid level analysis T-IP IVMSP   ✅
    Image and video interpretation and understanding T-IP IVMSP   ✅
    Image and video biometric analysis T-IP IVMSP   ✅
    Image and video storage and retrieval T-IP IVMSP ✅ ✅
    Image and video synthesis, rendering, and visualization T-IP IVMSP ✅ ✅
    Region, boundary, texture and shape analysis T-IP IVMSP   ✅
    Machine learning for image and video analysis, synthesis, and retrieval T-IP IVMSP   ✅
  Three-dimensional image and video analysis and processing T-IP IVMSP ✅ ✅
    Light-field image processing and compression T-IP IVMSP   ✅
    3D image and video analysis and compression T-IP IVMSP   ✅
    3D video processing T-IP IVMSP   ✅
    Stereoscopic and multiview processing, display and coding T-IP IVMSP ✅ ✅
    Point cloud processing T-IP IVMSP   ✅
    Image and video augmented and virtual reality T-IP IVMSP   ✅
    Machine learning for 3D image and video processing T-IP IVMSP   ✅
  Electronic imaging T-IP IVMSP   ✅
    Image scanning and capture T-IP IVMSP ✅ ✅
    Color and multispectral imaging T-IP IVMSP ✅ ✅
    Scanned document analysis, processing, and coding T-IP IVMSP ✅ ✅
    Hardware and software systems for image and video processing T-IP IVMSP ✅ ✅
    Machine learning for electronic imaging T-IP IVMSP   ✅
  Applications and other topics in image, video and multidimensional signal processing T-IP IVMSP ✅ ✅
    Remote sensing images T-IP IVMSP    

 

 

Computational Imaging
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Computational Imaging T-CI CI ✅ ✅
  Computational imaging methods and models T-CI CI ✅ ✅
    Sparse, low-rank, and low-dimensional models for computational imaging T-CI CI ✅ ✅
    Statistical and graphical image models T-CI CI   ✅
    Machine learning-based methods for computational imaging T-CI CI ✅ ✅
    Optimization-based inversion methods T-CI CI   ✅
    Multi-image methods and sensor fusion T-CI CI   ✅
    Superresolution and inpainting methods for inverse problems T-CI CI   ✅
    Performance assessment and uncertainty quantification for computational imaging T-CI CI   ✅
    Novel regularization methods T-CI CI   ✅
    Other computational imaging methods and models T-CI CI   ✅
  Computational imaging modalities T-CI CI ✅ ✅
    Computational photography T-CI CI ✅ ✅
    Microscopic and nanoscopic imaging T-CI CI   ✅
    Spectral imaging T-CI CI   ✅
    Tomographic imaging T-CI CI   ✅
    Magnetic resonance imaging T-CI CI   ✅
    Acoustic and ultrasound imaging T-CI CI   ✅
    Radar/microwave and radio imaging T-CI CI   ✅
    Lidar imaging T-CI CI   ✅
    Seismic imaging T-CI CI   ✅
    Coherent, holographic, and speckle imaging T-CI CI   ✅
    Other/novel computational imaging modalities T-CI CI   ✅
  Computational imaging hardware and algorithms T-CI CI ✅ ✅
    High-performance computing for computational imaging T-CI CI   ✅
    Fast algorithms for computational imaging T-CI CI   ✅
    Integrated hardware and algorithm design T-CI CI   ✅
    Computational imaging with novel sensors and acquisition methods T-CI CI   ✅
  Applications and other topics in computational imaging T-CI CI ✅ ✅

 

 

Multimedia Signal Processing
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Multimedia Signal Processing T-MM MMSP ✅  
  Multimedia creation and synthesis T-MM MMSP    
    Multimedia acquisition and sensor technology T-MM MMSP    
    Multimedia synthesis and rendering T-MM MMSP ✅  
    Human centric multimedia synthesis and generation T-MM MMSP    
    Object centric multimedia synthesis and generation T-MM MMSP    
  Multimedia architecture design and systems T-MM MMSP    
    Display technology for multimedia T-MM MMSP    
    Large-scale multimedia systems and benchmarking T-MM MMSP    
    Mobile media technology and systems T-MM MMSP    
    System design and optimization T-MM MMSP    
    Architectures and design techniques T-MM MMSP    
    Frugal and green multimedia T-MM MMSP ✅  
  Multi-modal processing, analysis and synthesis T-MM MMSP    
    Multi-modal signal processing and analysis T-MM MMSP ✅  
    Machine/deep learning methodologies for multimedia T-MM MMSP ✅  
    Generative/large multi-modal models T-MM MMSP ✅  
    Distributed multimedia processing and Internet-of-Things T-MM MMSP    
    Multimedia understanding T-MM MMSP ✅  
  Multimedia compression, transmission and security T-MM MMSP ✅  
    Multimedia compression, coding, conversion, and transcoding T-MM MMSP    
    Multimedia communications and streaming T-MM MMSP    
    Learning-based multimedia compression T-MM MMSP    
    Multimedia over networks T-MM MMSP    
    Multimedia security and watermarking T-MM MMSP    
    Video surveillance and semantic analysis T-MM MMSP    
  Multimedia standardization T-MM MMSP    
    Media and data compression standardization T-MM MMSP    
    Media transmission and communication standardization T-MM MMSP    
    Media description and representation standardization T-MM MMSP    
    Media display standards T-MM MMSP    
    Metaverse media processing standardization T-MM MMSP    
  Multimedia environments and user experience T-MM MMSP    
    Human-centric multimedia and human-machine interaction T-MM MMSP    
    Immersive and 3D multimedia processing and coding T-MM MMSP ✅  
    Quality of experience T-MM MMSP ✅  
    Audio-visual-haptic environments T-MM MMSP    
    Multimodal telepresence and collaboration T-MM MMSP    
  Multimedia information retrieval and datasets T-MM MMSP ✅  
    Multimedia search and retrieval T-MM MMSP    
    Multimedia datasets T-MM MMSP    
    Knowledge and semantics modeling for multimedia databases T-MM MMSP    
    Media preservation T-MM MMSP    
    Validation, quality assessment and corpora for media search T-MM MMSP    
    Social and web multimedia T-MM MMSP    
  Applications in multimedia (healthcare, education, art, distributed multimedia, etc.) T-MM MMSP ✅  
    Multimedia in healthcare, education, art, and social sciences T-MM MMSP    
    Multimedia perception and processing for autonomous systems T-MM MMSP ✅  
    Other multimedia areas T-MM MMSP    

 

 

Information Forensics and Security
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Information Forensics and Security T-IFS IFS ✅ ✅
  Applied cryptography T-IFS IFS ✅  
    Secure computation using homomorphic encryption T-IFS IFS    
    Secure computation using secret sharing T-IFS IFS    
    Multimedia encryption T-IFS IFS    
    Searchable encryption T-IFS IFS    
  Watermarking and data hiding T-IFS IFS ✅ ✅
    Theoretical models T-IFS IFS    
    Steganography and steganalysis T-IFS IFS    
  Anonymization and data privacy T-IFS IFS ✅  
    Privacy protection T-IFS IFS    
    Privacy attacks T-IFS IFS    
    Application and systems T-IFS IFS    
    Differential privacy T-IFS IFS    
  Multimedia forensics T-IFS IFS ✅ ✅
    Text fingerprinting T-IFS IFS    
    Audio forensics T-IFS IFS    
    Image forensics T-IFS IFS    
    Video forensics T-IFS IFS    
    Multimedia content hash functions T-IFS IFS   ✅
    Multimedia security analysis and benchmarking T-IFS IFS    
    Multimedia content authentication and plagiarism detection T-IFS IFS    
  Machine learning for information forensics and security T-IFS IFS ✅ ✅
    Adversarial machine learning T-IFS IFS ✅  
    AI for security and forensics T-IFS IFS    
    Security and forensics for AI T-IFS IFS    
  Biometrics T-IFS IFS ✅ ✅
    Iris/ocular biometrics T-IFS IFS    
    Face biometrics T-IFS IFS    
    Other biometrics T-IFS IFS    
    Biometrics security and privacy T-IFS IFS    
    Biometric modalities T-IFS IFS    
  Cybersecurity T-IFS IFS ✅  
    Hardware security T-IFS IFS ✅  
    Network security T-IFS IFS ✅  
    System security T-IFS IFS ✅  
    Communication and information theoretic security T-IFS IFS ✅  
  Surveillance T-IFS IFS ✅ ✅
    Privacy in surveillance T-IFS IFS    
    Object and event detection and recognition T-IFS IFS    
  Applications and other topics in forensics and security T-IFS IFS ✅ ✅

 

 

Audio and Acoustic Signal Processing
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Audio and Acoustic Signal Processing T-ASLP AASP ✅  
  Audio signal processing T-ASLP AASP    
    Signal enhancement, restoration, and extraction T-ASLP AASP ✅  
    Audio and speech source separation T-ASLP AASP ✅  
    Audio and speech coding, transmission, and representations T-ASLP AASP ✅  
    Audio and speech quality and intelligibility measures T-ASLP AASP ✅  
    Auditory modeling and hearing instruments T-ASLP AASP ✅  
    System identification and dereverberation T-ASLP AASP ✅  
    Acoustic sensor array processing T-ASLP AASP ✅  
    Fundamental theory and algorithms for audio and acoustic signal processing T-ASLP AASP ✅  
  Acoustic scenes and events T-ASLP AASP    
    Audio captioning, retrieval, and understanding T-ASLP AASP ✅  
    Sound event and anomaly detection and sound scene classification T-ASLP AASP ✅  
    Sound generation and synthesis T-ASLP AASP ✅  
  Acoustic environment processing T-ASLP AASP    
    Modeling, analysis, and synthesis of acoustic environments T-ASLP AASP ✅  
    Spatial audio recording and reproduction T-ASLP AASP ✅  
    Active noise control; acoustic echo and feedback cancellation T-ASLP AASP ✅  
  Music analysis, processing, and generation T-ASLP AASP    
    Music analysis T-ASLP AASP ✅  
    Music signal processing, production, and separation T-ASLP AASP ✅  
    Audio- and symbolic-domain music generation and content creation T-ASLP AASP ✅  
  Applications and other topics in audio and acoustic signal processing T-ASLP AASP    
    Bioacoustics and medical acoustics T-ASLP AASP ✅  
    Audio security T-ASLP AASP ✅  
    Audio for video and multimedia T-ASLP AASP ✅  
    Data and open source for audio and acoustic signal processing T-ASLP AASP ✅  

 

 

Speech and Language Processing
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Speech and Language Processing T-ASLP SLP ✅  
  Human language processing T-ASLP SLP    
    Discourse and dialog T-ASLP SLP ✅  
    Language understanding and computational semantics T-ASLP SLP ✅  
    Spoken document retrieval and summarization T-ASLP SLP ✅  
    Segmentation, tagging, and parsing of language T-ASLP SLP ✅  
    Summarization, retrieval and language learning T-ASLP SLP ✅  
    Machine Learning for natural language processing T-ASLP SLP ✅  
    Generation in natural language processing T-ASLP SLP ✅  
    Question answering T-ASLP SLP ✅  
  Multi-modal/cross-modal speech and language processing T-ASLP SLP ✅  
    Audio-visual speech/intent recognition T-ASLP SLP    
    Cross-modal processing of language T-ASLP SLP    
    Multimodal processing of language T-ASLP SLP    
    Multimodal processing of speech T-ASLP SLP    
  Speaker recognition, identification and verification T-ASLP SLP    
    Speaker diarization and identification T-ASLP SLP ✅  
    Speaker verification T-ASLP SLP ✅  
    Speaker anti-spoofing T-ASLP SLP ✅  
  Speech enhancement and extraction T-ASLP SLP ✅  
    Self-supervised learning for speech processing T-ASLP SLP    
    Speech analysis - pitch and spectrum T-ASLP SLP    
    Speech analysis and enhancement T-ASLP SLP    
    Speech coding and compression T-ASLP SLP    
    Speech separation and extraction T-ASLP SLP    
    Voice, speech and language disorder T-ASLP SLP    
  Speech event detection T-ASLP SLP ✅  
    Keyword and voice activity detection T-ASLP SLP    
    Non-speech acoustic event detection T-ASLP SLP    
    Speaker change detection T-ASLP SLP    
    Speech emotion recognition T-ASLP SLP ✅  
  Speech generation   T-ASLP SLP    
    Speaker anonymization T-ASLP SLP    
    Speech/singing voice conversion and cloning T-ASLP SLP ✅  
    Text-to-speech generation T-ASLP SLP ✅  
    Neural vocoder and codec T-ASLP SLP ✅  
    Audio/music/singing voice generation T-ASLP SLP ✅  
    Watermarking and anti-spoofing T-ASLP SLP ✅  
  Speech processing resources T-ASLP SLP ✅  
    Data sets for speech processing T-ASLP SLP    
    Language resources, metrics and systems T-ASLP SLP    
    Resource constrained speech-to-text T-ASLP SLP    
  Speech recognition T-ASLP SLP ✅  
    Context and language modeling for speech recognition T-ASLP SLP    
    Language identification T-ASLP SLP    
    Multilingual speech recognition and identification T-ASLP SLP ✅  
    Multi-talker speech recognition T-ASLP SLP ✅  
    Natural language processing for speech recognition T-ASLP SLP    
    New algorithms/approaches for speech-to-text T-ASLP SLP    
    Speech modeling for speech recognition T-ASLP SLP ✅  
    Adaptation and customization for speech-to-text T-ASLP SLP ✅  
    Text-based customization for speech-to-text T-ASLP SLP    
  Speech translation T-ASLP SLP    
    Machine translation of spoken/written language T-ASLP SLP ✅  
    Natural language processing for speech translation T-ASLP SLP    
    Text-based customization for speech translation T-ASLP SLP    
  Applications and other topics in speech and language processing T-ASLP SLP    

 

 

Applied Signal Processing Systems
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Applied Signal Processing Systems T-SP ASPS ✅  
  Integrating signal processing and computing T-SP ASPS    
    Quantum and quantum-inspired signal processing T-SP ASPS ✅  
    Neuromorphic computing T-SP ASPS ✅  
    Edge and embedded computing T-SP ASPS ✅  
    Energy-aware computing T-SP ASPS ✅  
    Hardware accelerators T-SP ASPS ✅  
    Resource-efficient machine learning T-SP ASPS ✅  
    Signal processing and generative AI systems T-SP ASPS ✅  
    Processing-in-memory signal processing systems T-SP ASPS ✅  
  Signal processing application systems T-SP ASPS    
    Autonomous systems T-SP ASPS ✅  
    Internet of things T-SP ASPS ✅  
    Robotics T-SP ASPS ✅  
    Radar, sonar and acoustic systems T-SP ASPS ✅  
    Safe and trustworthy systems T-SP ASPS ✅  
    Applications of generative AI and foundation models T-SP ASPS ✅  
    Other emerging topics in signal processing systems T-SP ASPS ✅  

 

 

Signal Processing Education
Level - 1 | Level - 2 | Level - 3 Journal TC ICASSP ICIP
Signal Processing Education T-SP SPEB ✅  
  Curriculum development T-SP SPEB ✅  
  Resouces and tools for signal processing education T-SP SPEB ✅  
  Pedagogical models for signal processing education T-SP SPEB ✅  
  Case studies in signal processing education T-SP SPEB ✅  

 

 

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