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

Schwartz et al., 2016 - Google Patents

Joint estimation of late reverberant and speech power spectral densities in noisy environments using Frobenius norm

Schwartz et al., 2016

View PDF
Document ID
15556869914008389071
Author
Schwartz O
Gannot S
Habets E
Publication year
Publication venue
2016 24th European Signal Processing Conference (EUSIPCO)

External Links

Snippet

Various dereverberation and noise reduction algorithms require power spectral density estimates of the anechoic speech, reverberation, and noise. In this work, we derive a novel multichannel estimator for the power spectral densities (PSDs) of the reverberation and the …
Continue reading at www.eurasip.org (PDF) (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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R25/00—Deaf-aid sets providing an auditory perception; Electric tinnitus maskers providing an auditory perception
    • H04R25/40—Arrangements for obtaining a desired directivity characteristic
    • H04R25/407—Circuits for combining signals of a plurality of transducers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R3/00—Circuits for transducers, loudspeakers or microphones
    • H04R3/005—Circuits for transducers, loudspeakers or microphones for combining the signals of two or more microphones
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R3/00—Circuits for transducers, loudspeakers or microphones
    • H04R3/02—Circuits for transducers, loudspeakers or microphones for preventing acoustic reaction, i.e. acoustic oscillatory feedback
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R29/00—Monitoring arrangements; Testing arrangements
    • H04R29/004—Monitoring arrangements; Testing arrangements for microphones
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
    • H04R2225/43—Signal processing in hearing aids to enhance the speech intelligibility
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M9/00—Interconnection arrangements not involving centralised switching
    • H04M9/08—Two-way loud-speaking telephone systems with means for suppressing echoes or otherwise conditioning for one or other direction of traffic

Similar Documents

Publication Publication Date Title
Schwartz et al. Joint estimation of late reverberant and speech power spectral densities in noisy environments using Frobenius norm
Kuklasiński et al. Maximum likelihood PSD estimation for speech enhancement in reverberation and noise
Schwartz et al. Multi-microphone speech dereverberation and noise reduction using relative early transfer functions
Krueger et al. Speech enhancement with a GSC-like structure employing eigenvector-based transfer function ratios estimation
Kjems et al. Maximum likelihood based noise covariance matrix estimation for multi-microphone speech enhancement
Yousefian et al. A dual-microphone speech enhancement algorithm based on the coherence function
EP2701145A1 (en) Noise estimation for use with noise reduction and echo cancellation in personal communication
Yousefian et al. A dual-microphone algorithm that can cope with competing-talker scenarios
Kuklasiński et al. Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids
Schwartz et al. Joint maximum likelihood estimation of late reverberant and speech power spectral density in noisy environments
Ito et al. Designing the Wiener post-filter for diffuse noise suppression using imaginary parts of inter-channel cross-spectra
Yousefian et al. A coherence-based noise reduction algorithm for binaural hearing aids
Kodrasi et al. Joint late reverberation and noise power spectral density estimation in a spatially homogeneous noise field
Schwartz et al. Maximum likelihood estimation of the late reverberant power spectral density in noisy environments
Schwartz et al. Nested generalized sidelobe canceller for joint dereverberation and noise reduction
Hoang et al. Joint maximum likelihood estimation of power spectral densities and relative acoustic transfer functions for acoustic beamforming
Shankar et al. Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphone
Dmour et al. A new framework for underdetermined speech extraction using mixture of beamformers
Zohourian et al. GSC-based binaural speaker separation preserving spatial cues
Aroudi et al. Cognitive-driven convolutional beamforming using EEG-based auditory attention decoding
Yu Post-filter optimization for multichannel automotive speech enhancement
Pfeifenberger et al. Blind source extraction based on a direction-dependent a-priori SNR.
Xue et al. Multichannel kalman filtering for speech ehnancement
Kuklasinski et al. Maximum likelihood PSD estimation for speech enhancement in reverberant and noisy conditions
Zheng et al. Statistical analysis and improvement of coherent-to-diffuse power ratio estimators for dereverberation