[go: up one dir, main page]

Habets et al., 2018 - Google Patents

Dereverberation

Habets et al., 2018

Document ID
11867613678460066609
Author
Habets E
Naylor P
Publication year
Publication venue
Audio Source Separation and Speech Enhancement

External Links

Snippet

The degrading effects of reverberation on speech are a major concern in applications including speech telecommunications and automatic speech recognition (ASR). The distortion caused by reverberation can be modeled as a convolutive distortion or an additive …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02166—Microphone arrays; Beamforming
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis
    • G10L19/04—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis using predictive techniques
    • G10L19/08—Determination or coding of the excitation function; Determination or coding of the long-term prediction parameters
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0272—Voice signal separating
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/14—Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
    • G10L15/142—Hidden Markov Models [HMMs]
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065—Adaptation
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis
    • G10L19/008—Multichannel audio signal coding or decoding, i.e. using interchannel correlation to reduce redundancies, e.g. joint-stereo, intensity-coding, matrixing
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/78—Detection of presence or absence of voice signals
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00—Speaker identification or verification
    • G10L17/04—Training, enrolment or model building
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the type of extracted parameters

Similar Documents

Publication Publication Date Title
Nakatani et al. Speech dereverberation based on variance-normalized delayed linear prediction
Doclo et al. GSVD-based optimal filtering for single and multimicrophone speech enhancement
Togami et al. Optimized speech dereverberation from probabilistic perspective for time varying acoustic transfer function
EP3685378B1 (en) Signal processor and method for providing a processed audio signal reducing noise and reverberation
Braun et al. Online dereverberation for dynamic scenarios using a Kalman filter with an autoregressive model
Schmid et al. Variational Bayesian inference for multichannel dereverberation and noise reduction
Doire et al. Single-channel online enhancement of speech corrupted by reverberation and noise
Krueger et al. Model-based feature enhancement for reverberant speech recognition
Nakatani et al. Speech dereverberation based on maximum-likelihood estimation with time-varying Gaussian source model
Koldovský et al. Spatial source subtraction based on incomplete measurements of relative transfer function
Schwartz et al. An expectation-maximization algorithm for multimicrophone speech dereverberation and noise reduction with coherence matrix estimation
Habets et al. Dereverberation
Wang et al. Noise power spectral density estimation using MaxNSR blocking matrix
Mohammadiha et al. Speech dereverberation using non-negative convolutive transfer function and spectro-temporal modeling
Nakatani et al. Dominance based integration of spatial and spectral features for speech enhancement
Habets Speech dereverberation using statistical reverberation models
Nesta et al. A flexible spatial blind source extraction framework for robust speech recognition in noisy environments
Thuene et al. Maximum-likelihood approach to adaptive multichannel-Wiener postfiltering for wind-noise reduction
Li et al. Multichannel online dereverberation based on spectral magnitude inverse filtering
Zhao et al. Robust speech recognition using beamforming with adaptive microphone gains and multichannel noise reduction
Song et al. An integrated multi-channel approach for joint noise reduction and dereverberation
Li et al. Multichannel identification and nonnegative equalization for dereverberation and noise reduction based on convolutive transfer function
Sehr et al. Towards robust distant-talking automatic speech recognition in reverberant environments
Pfeifenberger et al. Eigenvector-Based Speech Mask Estimation Using Logistic Regression.
Nakatani et al. Simultaneous denoising, dereverberation, and source separation using a unified convolutional beamformer