Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.


AUD-AMCT Audio and Speech Modeling, Coding and Transmission
Sparse representations; Probabilistic modeling; Low bit-rate and high-quality audio coding; scalable and lossless audio coding; spatial audio coding; joint source-channel coding; signal representations for coding; parametric and structured audio coding; psychoacoustic models for coding; low-delay audio coding; error detection, correction, and concealment.
AUD-AMHI Auditory Modeling and Hearing Instruments
Human audition and psychoacoustics; binaural hearing; computational auditory scene analysis; perceptual and psychophysical models of audio algorithms and systems; hearing aids; cochlear implants; signal processing in hearing instruments.
AUD-ASAP Acoustic Sensor Array Processing
Far-field and near-field beamforming; acoustic sensor array processing; speech enhancement using acoustic sensor arrays; source localization and tracking; simultaneous localization and mapping of sources and sensors; time-delay estimation; array calibration; distributed and ad-hoc microphone arrays; deep learning methods for acoustic array processing.
AUD-AUMM Audio for Multimedia and Audio Processing Systems
Joint processing of audio and video; human-machine audio interfaces; auditory displays; distant learning; augmented and virtual reality; hardware and software systems and implementations; consumer and professional audio.
AUD-BIO Bioacoustics and Medical Acoustics
Human body sounds analysis; investigation of sound production and reception in animals; echo-localization.
AUD-CLAS Detection and Classification of Acoustic Scenes and Events
Acoustic scene classification and detection; acoustic event detection and classification; environmental audio analysis.
AUD-MAAE Modeling, Analysis and Synthesis of Acoustic Environments
Acoustic system modeling; room response measurement, modeling and simulation; room geometry inference; reflector localization; reverberation time estimation; direct-to-reverberation ratio estimation.
AUD-MIR Music Information Retrieval and Music Language Processing
Content-based processing; discrimination; classification; structure analysis; content-based retrieval; fingerprinting; data mining; symbolic music processing; grammar-based models; music composition and improvisation; score following and music accompaniment; music annotation and metadata; symbolic music corpora.
AUD-MSP Music Signal Analysis, Processing and Synthesis
Analysis; modification; synthesis; models and representations for musical signals; pitch and multi-pitch estimation; audio feature extraction; melody, note, chord, key, and rhythm estimation and detection; automatic transcription; musical voice separation; instrument modeling; modeling of analog audio systems; audio effects.
AUD-NEFR Active Noise Control, Echo Reduction and Feedback Reduction
Active noise cancellation and suppression; Single-channel and multichannel acoustic echo cancellation; echo path estimation and modeling; echo suppression; nonlinear echo reduction; double-talk detection; adaptive filter theory for audio applications; adaptive techniques for feedforward control; feedback cancellation; feedback suppression; transducer modeling for noise control and echo/feedback reduction.
AUD-QIM Quality and Intelligibility Measures
Perceptual measures of audio quality; objective and subjective quality assessment; network audio quality assessment; speech intelligibility measures.
AUD-SARR Spatial Audio Recording and Reproduction
Analysis and synthesis of sound fields; wave-field synthesis; loudspeaker array processing; Ambisonics; panning; multipoint synthesis and binaural synthesis; crosstalk cancellation; virtual auditory environments; Auralization, spatialization and virtualization; measurement and modeling of head-related transfer functions; binaural rendering; artificial reverberation algorithms. Loudspeaker equalization and room compensation.
AUD-SEC Audio Security
Audio security; audio privacy; audio analysis for forensics; audio watermarking and data hiding in audio streams; acoustic event detection for forensics.
AUD-SEN Signal Enhancement and Restoration
Noise reduction; noise estimation, compensation, and equalization; deep learning methods for signal enhancement and restoration; audio de-noising and restoration; bandwidth expansion; clipping restoration, near-end listening enhancement.
AUD-SEP Audio and Speech Source Separation
Single-channel and multichannel source separation; computational acoustic scene analysis; NMF-based source separation; deep learning methods for source separation.
AUD-SIRR System Identification and Reverberation Reduction
SIMO and MIMO identification; reverberation cancellation and suppression; blind deconvolution; channel shortening; channel equalization.
HLT-LANG Language Modelling
N-grams, their generalizations and smoothing methods; language model adaptation: grammar-based, structured language modelling; discriminative, maximum-entropy and feature-based language modelling; computational phonology and phonetics; dialect, accent, and idiolect at the language level;
HLT-MMPL Multimodal Processing of Language
HLT-MTSW Machine Translation for Spoken and Written Language
Example/phrase/syntax/semantics-based machine translafion; hybrid machine translation: word/sentence/document alignments; synchronous grammar induction; decoding: system combination; post-editing; machine transliteration and transcription; spoken language translation: speech processing for machine translation;
HLT-UNDE Spoken Language Understanding and Computational Semantics
Spoken language understanding; paralinguistic (emotion , age, gender, etc.), non-linguistic (gesture, sign, etc) Information processing; semantic role labell ing, multiword expressions; word sense disambiguation, representation of meaning; lexical semantics; distributional semantics; text entailment; ontology;
HLT-DIAL Discourse and Dialog
Learning of linguistic/discourse structure (e.g., disfluencies, sentence/topic boundanes, speech acts); co-reference and anaphora resolution; dialog management/generation/analysis; semantic analysis for discourse and dialog: intent determination: dialog act tagging;
HLT-SDTM Spoken Document Retrieval and Text Mining
Spoken document retrieval; linguistic pattern discovery and prediction from data; spoken term detection; named entity recognition; question answering; document summarization and generation; spoken document summanzation; information extraction and retrieval; subjectivity and sentiment analysis; text and spoken document classification; spam detection; topic detection and tracking; trend detection;
HLT-STPA Segmentation, Tagging, and Parsing
Morphology analysis; word segmentation; part-of-speech tagging, chunking and supertagging; models and algorithms for parsing; grammar induction; dependency parsing; multilingual parsing;
HLT-LACL Language Acquisition and Learning
Language acquisition, development, and learning models; computer aids for language learning; assessment of pronunciation and language fluency.
HLT-MLMD Machine Learning Methods
Supervised, unsupervised, semi-supervised learning; statistical methods; symbolic learning methods; biologically inspired and neural networks; reinforcement learning; active learning; online learning; deep learning; recursive and structured models, graphical and latent variable models; kernel methods; domain adaptation;
HLT-LRES Language Resources and Systems
Annotation and evaluation of corpora; linguistic resources development methodologies, standards, tools and evaluations; crowd-sourcing; human computer interface; assistive technology for the aged; universal access and individuals with impairments; mobile conversational interface; evaluations, systems and applications of human language technology.
SPE-SPRD Speech Production
Physical models of the vocal production system; bioacoustics and medical acoustics; singing and properties of the musical voice.
SPE-SPER Speech Perception and Psychoacoustics
Models of Speech Perception; hearing and psychoacoustics; physiological models and applications thereof; audiology applications.
SPE-ANLS Speech Analysis
Spectral and other time-frequency analysis techniques; segmental and suprasegmental analysis; distortion measures; extraction of non-linguistic information (e.g., gender, stress, etc); voice/speech disorders; speaker localization (space) (e.g., in meetings); speaker diarization (time) (e.g., in meetings); speaker clustering (e.g., in Broadcast news).
SPE-SYNT Speech Synthesis and Generation
Segmental-level and/or concatenative synthesis; signal processing/statistical model for synthesis; articulatory synthesis; parametric synthesis; prosody, emotional, and expressive synthesis; text-to-phoneme conversion; voice quality/morphing; audio/visual speech synthesis; multilingual synthesis; quality assessent/evaluation metrics in synthesis; tools and data for speech synthesis; text processing for speech synthesis (text normalization, syntactic and semantic analysis).
SPE-CODI Speech Coding
Narrow-band and wide-band speech coding; theory and techniques for signal coding (e.g., waveform, transform); modulation and source/channel coding; quantization and compression; robust coding for noisy channels; coding for Voice Over IP (VOIP); quality assessent/evaluation metrics (e.g., PESQ) in coding; new applications of VOIP.
SPE-ENHA Speech Enhancement and Separation
non-noisy speech; speech enhancement for humans with hearing impairments; non-acoustic microphones for enhancement; bandwidth expansion; noise reduction.
SPE-RECO Acoustic Modeling for Automatic Speech Recognition
Acoustic feature extraction; low-level feature modeling - Gaussians & beyond; statistical and neural network models, deep learning models, pronunciation modeling; state clustering and novel state definitions; prosody and other speech characteristics; dialect, accent, and idiolect at the acoustic level; discriminative acoustic training methods for ASR; articulatory and physiological modeling; non-acoustic microphones for ASR; feature transformation and normalization.
SPE-ROBU Robust Speech Recognition
Acoustic features specifically for robust ASR (noise, channel, etc.); model/backend based robust ASR; confidence measures and rejection; speech activity/end-point detection; barge-in.
SPE-ADAP Speech Adaptation/Normalization
Speaker adaptation and normalization (e.g., VTLN); speaker adapted training methods; environmental/channel adaptation; idiolect adaptation; register and/or dialect adaptation.
SPE-GASR General Topics in Speech Recognition
Distributed Speech Recognition - Client/Server methods; alternative Statistical/Machine Learning Methods (e.g., no HMMs); word spotting; metadata (e.g., emotion, speaker, accent) extraction from acoustics; new algorithms, computational strategies, data-structures for ASR; multi-modal (such as audio-visual) speech recognition; corpora, annotation, and other resources; algorithm approximation methods in ASR; structured classification approaches.
SPE-MULT Multilingual Recognition and Identification
Language-type and dialect identification; multilingual speech recognition and spoken language processing; processing of non-native accents; mixed-code speech recognition and understanding; low resource and rare language processing
SPE-GASR General Topics in Speech Recognition
Distributed Speech Recognition - Client/Server methods; alternative Statistical/Machine Learning Methods (e.g., no HMMs); word spotting; metadata (e.g., emotion, speaker, accent) extraction from acoustics; new algorithms, computational strategies, data-structures for ASR; multi-modal (such as audio-visual) speech recognition; corpora, annotation, and other resources; algorithm approximation methods in ASR; structured classification approaches; lexical modeling and access; resource constrained speech recognition.
SPE-LVCR Large Vocabulary Continuous Recognition/Search
Decoding algorithms and implementation; lattices; multi-pass strategies; miscellaneous Topics.
SPE-SPKR Speaker Recognition and Characterization
Features and characteristics for speaker recognition; robustness to variable and degraded channels; verification, identification, segmentation, and clustering; speaker characterization and adaptation; speaker recognition with speech recognition; speaker confidence estimation; multimodal and multimedia human speaker recognition; corpora, annotation, evaluation, and other resources; higher-level knowledge in speaker recognition.

SPS on Twitter

  • SPS WEBINAR: Join us on Tuesday, 2 August for a new SPS Webinar, when Dr. Yue Li presents "Learning a Convolutional…
  • Registration for ICIP 2021 is now open! This hybrid event will take place 19-22 September, with the in-person compo…
  • The Brain Space Initiative Talk Series continues on Friday, 30 July when Dr. Ioulia Kovelman presents "The Bilingua…
  • There’s still time to register your team to win the US$5,000 grand prize in the 5-Minute Video Clip Contest, “Autom…
  • Join the SPS Vizag Bay, Long Island, and Finland Chapters for the Seasonal School on Signal Processing and Communic…

SPS Videos

Signal Processing in Home Assistants


Multimedia Forensics

Careers in Signal Processing             


Under the Radar