Nothing Special   »   [go: up one dir, main page]

Kawamura et al., 2003 - Google Patents

A noise reduction method based on linear prediction analysis

Kawamura et al., 2003

Document ID
16217742598759977370
Author
Kawamura A
Fujii K
Itoh Y
Fukui Y
Publication year
Publication venue
Electronics and Communications in Japan (Part III: Fundamental Electronic Science)

External Links

Snippet

The linear prediction method works in such a way that the difference (prediction residual) between the objective signal and the output generated by making the objective signal a linear combination of the input signals is uncorrelated. Hence, in this linear prediction …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Processing 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
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02166Microphone arrays; Beamforming
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Processing 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
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise
    • G10L21/0232Processing in the frequency domain
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/27Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the analysis technique
    • G10L25/30Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the analysis technique using neural networks
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/93Discriminating between voiced and unvoiced parts of speech signals
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/78Detection of presence or absence of voice signals
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/03Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the type of extracted parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R3/00Circuits for transducers, loudspeakers or microphones
    • H04R3/005Circuits for transducers, loudspeakers or microphones for combining the signals of two or more microphones
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00Speech 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
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or damping of, acoustic waves, e.g. sound
    • G10K11/175Methods or devices for protecting against, or damping of, acoustic waves, e.g. sound using interference effects; Masking sound
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification

Similar Documents

Publication Publication Date Title
CN109065067B (en) Conference terminal voice noise reduction method based on neural network model
Kuklasiński et al. Maximum likelihood PSD estimation for speech enhancement in reverberation and noise
Habets Speech dereverberation using statistical reverberation models
Schwartz et al. An expectation-maximization algorithm for multimicrophone speech dereverberation and noise reduction with coherence matrix estimation
Habets et al. Joint dereverberation and residual echo suppression of speech signals in noisy environments
Taha et al. A survey on techniques for enhancing speech
Yen et al. Adaptive co-channel speech separation and recognition
Jaiswal et al. Implicit wiener filtering for speech enhancement in non-stationary noise
Kawamura et al. A noise reduction method based on linear prediction analysis
Cao et al. Multichannel speech separation by eigendecomposition and its application to co-talker interference removal
Kawamura et al. A new noise reduction method using estimated noise spectrum
Kawamura et al. A new noise reduction method using linear prediction error filter and adaptive digital filter
Yadav et al. Joint Dereverberation and Beamforming With Blind Estimation of the Shape Parameter of the Desired Source Prior
Prasad et al. Two microphone technique to improve the speech intelligibility under noisy environment
Acero et al. Towards environment-independent spoken language systems
KR101537653B1 (en) Method and system for noise reduction based on spectral and temporal correlations
Giri et al. A novel target speaker dependent postfiltering approach for multichannel speech enhancement
Abutalebi et al. Speech dereverberation in noisy environments using an adaptive minimum mean square error estimator
Paul A robust vocoder with pitch-adaptive spectral envelope estimation and an integrated maximum-likelihood pitch estimator
Hidri et al. A multichannel beamforming-based framework for speech extraction
Rustrana et al. Spectral Methods for Single Channel Speech Enhancement in Multi-Source Environment
Prasad Speech enhancement for multi microphone using kepstrum approach
Lebart et al. A new method based on spectral subtraction for the suppression of late reverberation from speech signals
Sasaoka et al. A noise reduction system for wideband and sinusoidal noise based on adaptive line enhancer and inverse filter
Akagi et al. Speech enhancement and segregation based on human auditory mechanisms