An event-based method for microphone array speech enhancement
نویسنده
چکیده
This paper presents the Multi-Channel Multi-Pulse (MCMP) algorithm for the enhancement of speech degraded by reverberations and additive noise. The enhanced speech is synthesized from a sequence of impulses exciting a linear predictive lter. The excitation signal is computed from a nonlinear process which uses impulse clustering of the multi-channel speech data to discriminate portions of the linear prediction residual produced by the desired speech signal from those due to multipath e ects and uncorrelated noise. The MCMP algorithm is shown to be capable of identifying and attenuating reverberant portions of the speech signal as well as reducing the e ects of additive noise.
منابع مشابه
شکلدهی وفقی و هوشمند پرتو در آرایههای میکروفونی Ad-hoc با استفاده از خوشهبندی و رتبهبندی میکروفونها
Considering the existence of a many speech degradation factors, speech enhancement has become an important topic in the field of speech processing. Beamforming is one of the well-known methods for improving the speech quality that is conventionally applied using regular (classical) microphone arrays. Due to the restrictions in the regular arrangement of microphones, in recent years there has be...
متن کاملSpeech Enhancement Using Nonlinear Microphone Array Based on Complementary Beamforming
This paper describes a spatial spectral subtraction method by using the complementary beamforming microphone array to enhance noisy speech signals for speech recognition. The complementary beamforming is based on two types of beamformers designed to obtain complementary directivity patterns with respect to each other. In this paper, it is shown that the nonlinear subtraction processing with com...
متن کاملAn Improved Array Steering Vector Estimation Method and Its Application in Speech Enhancement
We propose a robust microphone array for speech enhancement and noise suppression. To overcome target signal cancellation problem of conventional beamformes caused by array imperfections or reverberation effects, the proposed method adopts arbitrary transfer function relating each microphone and target speech signal as array channel model. This is achieved in two ways. First, we propose a metho...
متن کاملCombined front-end signal processing for in-vehicle speech systems
In this paper, we investigate the integration of two processing methods to improve speech quality for invehicle speech systems: multi-sensor beamforming and constrained iterative (Auto-LSP) speech enhancement. The intent is to establish an intelligent microphone array processing scheme in high noise environments by considering the effectiveness of a multi-sensor beamformer method and the Auto-L...
متن کاملA Simple Two-Microphone Array Devoted to Speech Enhancement and Source Tracking
Negative Beamformers are well known for their high angular selectivity, based in directional source separation processes, which makes them potentially suitable for speech enhancement applications in noisy backgrounds. Also, they achieve an important advantage: the lower number of signal sensors (microphones) required. The scheme that is proposed in this paper combines Negative Beamforming and S...
متن کامل