Adaptive Blocking Beamformer for Speech Separation
نویسندگان
چکیده
This paper tackles the speech separation problem in a meeting room using a new acoustic beamforming method – adaptive blocking (AB) beamformer. The proposed method is an optimum beamforming with a structure similar to the generalized sidelobe canceller (GSC) structure, but simpler. Thus, it inherits the flexibility of GSC and functions well in dynamic environments. We investigate the performance of the proposed method through different experiments and compare the results with a GSC beamformer for minimum variance distortionless response (MVDR). The experimental setups include one wanted speaker, two interferers, air conditioner noise and uncorrelated sensor noise. AB provides improvement over MVDR-GSC.
منابع مشابه
Speech enhancement and recognition by integrating adaptive beamforming and wiener filtering
A robust adaptive beamforming method is presented in this paper for speech enhancement and speech recognition with microphone arrays. The proposal is based on a modification of the Generalized Sidelobe Canceller with adaptive blocking matrix and the use of a Wiener filter. Alternatively to most of the previous reported works based on microphone arrays with postfiltering, the new technique integ...
متن کاملNear-field Adaptive Beamformer for Robust Speech Recognition
This paper investigates a new microphone array processing technique specifically for the purpose of speech enhancement and recognition. The main objective of the proposed technique is to improve the low frequency directivity of a conventional adaptive beamformer, as low frequency performance is critical in speech processing applications. The proposed technique, termed near-field adaptive beamfo...
متن کاملVoice activity classification for automatic bi-speaker adaptive beamforming in speech separation
A simple and low computational complexity system for bispeaker speech separation is proposed in this paper. The system is constructed of a voice activity classification (VAC) module and an adaptive bi-beamformer module for speech separation using a microphone array. The first module identifies active speaker(s) and allows the system to control the adaptation of the second module automatically. ...
متن کاملImproving the Separation of Concurrent Speech through Residual Echo Suppression
This paper investigates the use of acoustic echo cancellation components in a speech separation system. The basic system uses a classical beamformer architecture, which separates the speech from different speakers based on spatial diversity. In order to get a better suppression of concurrent speech, we add a residual echo suppression stage, which has originally been developed in the area of aco...
متن کاملBlind Source Separation of Convolutive Mixtures of Speech in Frequency Domain
This paper overviews a total solution for frequencydomain blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin, and this is more efficient than time-domain BSS. We describe a sophisticated total solution for frequency-domain BSS, including permutation, scaling, circular...
متن کامل