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    IEEE Transactions on

    AUDIO, SPEECH & LANGUAGE PROCESSING


    EDICs Categories

    SPEECH PROCESSING

    • 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
      Control and reduction of channel noise (e.g., reverb, room response); perceptual enhancement of 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
      Feature extraction; low-level feature modeling - Gaussians & beyond; 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
      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 and dialect identification; multilingual Speech recognition; processing of non-native accents.
    • SPE-LEXI Lexical Modeling and Access
      Pronunciation modeling at the lexical level; dialect, accent, and idiolect at the lexical level; multilingual aspects (e.g., unit selection); automatic lexicon learning.
    • 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.
    • SPE-RCSR Resource Constrained Speech Recognition
      Low-power speech recognition; reduced computation speech recognition; ASR techniques for highly portable/mobile devices.
    SPOKEN LANGUAGE PROCESSING
    • SLP-UNDE Spoken Language Understanding
      Paralinguistic (emotion, age, gender, rate, etc.) information; nonlinguistic (meaning external to language) information, gestures, etc.; semantic classification; question/answering from speech; entity extraction from speech; spoken document summarization; detecting linguistic/discourse structure (e.g., disfluencies, sentence/topic boundaries, speech acts); relation to and interpretation of sign language.
    • SLP-LADL Human Language Acquisition, Development and Learning
      Language acquisition, development, and learning models; computer aids for language learning; attributes and modeling techniques for assessment of language fluency.
    • SLP-SMMD Spoken and Multimodal Dialog Systems
      Spoken and multimodal dialog systems, applications, and architectures; stochastic Learning for dialog modeling; response Generation; technologies for the aged; evaluations and standardizations; speech/voice-based human-computer interfaces (HCI); speech HCI for individuals with impairments and universal access (UA); other applications.
    • SLP-SMIR Speech Data Mining and Document Retrieval
      Analysis and Evaluations for mining spoken data; search/retrieval of speech documents; mining heterogeneous speech and multimedia data; speech data mining theory, algorithms, and methods; core machine learning algorithms for data mining; topic spotting and classification; pattern discovery and prediction from data; applications and tools for speech data mining.
    • SLP-SSMT Machine Translation of Speech
      Semi-automatic and data driven methods; speech processing for MTS; corpora, annotation, and other resources; interlingua and transfer approaches; integration of speech and linguistic processing; machine transliteration for named entity; evaluation metrics (e.g., BLEU); systems and applications for MTS.
    • SLP-LANG Language Modeling (for Speech and SLP)
      N-grams, their generalizations and smoothing methods; language model adaptation; grammar based language modeling; maxent and feature based language modeling; dialect, accent, and idiolect at the language level; discriminative LM training methods; other approaches to LMs; structured classification approaches.
    • SLP-REAN Spoken Language Resources and Annotation
      General corpora, annotation, and other resources
    AUDIO AND ELECTROACOUSTICS
    • AUD-ROOM Room Acoustics and Acoustic System Modeling
      Room acoustics and acoustic system modeling; room response measurement, modeling, simulation and compensation; architectural and physical acoustics; physical modeling of musical instruments; room acoustics for music performance and reproduction.
    • AUD-TRAN Transducers
      Transducer modeling and design; transducer calibration and compensation; novel transducers.
    • AUD-LMAP Loudspeaker and Microphone Array Signal Processing
      Far-field and near-field beamforming and array processing; source localization and tracking; time-delay estimation; audio enhancement using transducer arrays; wavefield synthesis; sound field analysis and synthesis.
    • AUD-ANCO Active Noise Control
      Acoustic noise cancellation and suppression; adaptive techniques for feedforward control; feedback control algorithms; multichannel systems.
    • AUD-ECHO Echo Cancellation
      Single-channel and multichannel acoustic echo cancellation; echo path estimation and modeling; echo suppression and dereverberation; double-talk detection; adaptive filter theory for audio applications.
    • AUD-AUDI Auditory Modeling and Hearing Aids
      Human audition and psychoacoustics; computational auditory scene analysis; perceptual and psychophysical models of audio algorithms and systems; perceptual measures of audio quality; aids for the handicapped; medical aids (cochlear implants, hearing aids); binaural hearing.
    • AUD-SSEN Audio Source Separation and Enhancement
      Single-channel and multichannel source separation; blind deconvolution; noise reduction, compensation, and equalization; audio denoising and restoration.
    • AUD-SMCA Spatial and Multichannel Audio
      Spatial sound analysis and reproduction; spatialization and virtualization; measurement, modeling, and use of head-related transfer functions; crosstalk cancellation and binaural synthesis; artificial reverberation algorithms.
    • AUD-ACOD Audio Coding
      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; objective and subjective quality assessment; error detection, correction, and concealment.
    • AUD-ANSY Audio Analysis and Synthesis
      Music analysis, modification, and synthesis; models and representations for musical signals; pitch and multi-pitch estimation; audio feature analysis and extraction; melody, note, chord, key, and rhythm estimation and detection; automatic transcription.
    • AUD-CONT Content-Based Music Processing
      Audio identification, indexing, and retrieval; music semantics; segmentation and speech/music discrimination; audio characterization, classification, and categorization; music thumbnailing and automatic summarization; music fingerprinting; music information retrieval; data mining.
    • AUD-AUMM Audio for Multimedia
      Audio watermarking and data hiding; data encryption, security, and privacy; digital rights management; joint processing of audio and video; human-machine audio interfaces; auditory displays; distant learning and virtual reality.
    • AUD-NWAU Network Audio
      Audio processing for network distribution; packet loss detection, correction, and concealment; network audio quality assessment; distributed processing of audio.
    • AUD-SYST Audio Processing Systems
      Hardware and software systems and implementations; consumer and professional audio.
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