ICASSP (IEEE International Conference on Acoustics, Speech and Signal Processing)
是IEEE最大的訊號處理研討會，包含聲音、影像等
也是每年新技術的前瞻發表會

完整的發表內容：ICASSP 2019

我整理其中和音訊相關的單元，供大家查閱
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完整目錄

音訊相關主題

Audio and Acoustic Signal Processing

AASP-L1: detection and classification of acoustic scenes and events i
AASP-L2: detection and classification of acoustic scenes and events ii
AASP-L3: source separation and speech enhancement i
AASP-L4: source separation and speech enhancement ii
AASP-L5: spatial audio recording and reproduction
AASP-L6: music signal analysis, processing and synthesis
AASP-L7: music information retrieval
AASP-P1: acoustic environments and music analysis
AASP-P2: music source separation and spatial audio
AASP-P3: auditory modeling, music information retrieval and bioacoustics
AASP-P4: source separation and music information retrieval
AASP-P5: sensor array processing and auditory modeling
AASP-P6: music signal analysis and multimedia
AASP-P7: active noise control, source separation, and system identification
AASP-P8: spatial audio, audio enhancement and bandwidth extension
AASP-P9: quality measures and sensor array processing
AASP-P10: audio security and source separation
AASP-P11: audio coding and acoustic event detection
AASP-P12: sensor array processing and medical acoustics
AASP-P13: acoustic scene classification and music signal analysis
AASP-P14: acoustic event detection and speech enhancement
AASP-P15: spatial audio recording and detection and classification of acoustic scenes and events
AASP-P16: music signal analysis, feedback and echo cancellation and equalization

Machine Learning for Signal Processing

MLSP-L3: audio, speech, and natural language processing

Signal Processing Theory and Methods

SAM-P3: beamforming and source separation
SAM-P4: localization and tracking
SAM-P5: detection, estimation and classification

Spoken language processing

SLP-L1: end-to-end speech recognition i: general topics
SLP-L2: end-to-end speech recognition ii: new models
SLP-L3: novel architectures and training strategies for asr
SLP-L4: feature learning and adapation for asr
SLP-L5: speech enhancement i
SLP-L6: systems for speaker recognition and identification
SLP-L7: diarization and speaker characterization
SLP-L8: analysis of voice, speech and language disorders i
SLP-L9: using multiple perspectives in emotion and sentiment analysis
SLP-L10: speech synthesis i
SLP-L11: models of speech production
SLP-P1: multi-lingual identification and processing
SLP-P2: speaker verification and identification i
SLP-P3: multi-lingual speech recognition
SLP-P4: speaker verification and identification ii
SLP-P5: end-to-end speech recognition iii: source integration and knowledge transfer
SLP-P6: features and robustness for speaker identification
SLP-P7: end-to-end speech recognition iv: training strategies
SLP-P8: features and learning for speaker identification and diarization
SLP-P9: keyword spotting and embedded asr systems
SLP-P10: analysis of voice, speech and language disorders ii
SLP-P11: asr training strategies and toolkits
SLP-P12: speech analysis
SLP-P13: new features, models and representations / audio visual asr
SLP-P14: speech analysis of extralinguistic factors
SLP-P15: distant speech recognition
SLP-P16: architectures for emotion and sentiment analysis
SLP-P17: robust speech recognition
SLP-P18: voice conversion
SLP-P19: speech enhancement ii
SLP-P20: speech synthesis ii
SLP-P21: speech separation, enhancement and denoising
SLP-P22: speech synthesis iii
SLP-P23: end-to-end speech recognition v: modeling methods
SLP-P24: speech coding and perception

Signal Processing Implementation

HLT-L1: applications: translation, summarization, qa
HLT-P1: language modeling, asr and punctuation prediction

Signal Processing for Smart Systems

SS-P1: recent advances in the active control of sound