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.

Signal Processing Theory and Methods
Machine Learning in Signal Processing
Signal Processing for Sensing and Communication
Biomedical Signal and Image Processing
Image, Video and Multidimensional Signal Processing
Computational Imaging
Multimedia Signal Processing
Information Forensics and Security
Audio and Acoustic Signal Processing
Speech and Language Processing
Applied Signal Processing Systems
Signal Processing Education

Signal Processing Theory and Methods
Level - 1 \| Level - 2 \| Level - 3			Journal	TC	ICASSP
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
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
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
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
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
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
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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