Performance of automatic speech recognition relies on a vast amount of training speech data mostly recorded with little or no background noise. The performance degrades significantly with existence of background noise, which increases type mismatch between train and test environments. Speech enhancement techniques can reduce the amount of type mismatch by extracting reliable speech features fro...

conclusions monaural and binaural recognition of words and digits-in-noise are impaired in ld children with dichotic listening deficit. it seems that bdsd children show an inter-aural asymmetry in recognition of words-in-noise with poorer performance in the right ear. background previous studies have reported the weakness of recognition of speech-in-noise and dichotic listening deficit in learn...

A noise estimation algorithm plays an important role in speech enhancement. Speech enhancement for automatic speaker recognition system, Man–Machine communication, Voice recognition systems, speech coders, Hearing aids, Video conferencing and many applications are related to speech processing. All these systems are real world systems and input available for these systems is only the noisy speec...

BACKGROUND AND OBJECTIVES People usually converse in real-life background noise. They experience more difficulty understanding speech in noise than in a quiet environment. The present study investigated how speech recognition in real-life background noise is affected by the type of noise, signal-to-noise ratio (SNR), and age. SUBJECTS AND METHODS Eighteen young adults and fifteen middle-aged ...

The noise signal does not affect uniformly the speech signal over the whole spectrum isn the case of colored noise. In order to deal with speech improvement in such situations a new spectral subtraction algorithm is proposed for reducing colored noise from noise corrupted speech. The spectrum is divided into frequency sub-bands based on a nonlinear multiband bark scale. For each sub-band, the n...

Automatic speech recognition performance tends to be degraded in noisy conditions. Spectral subtraction is a simple, popular approach of noise compensation. In conventional spectral subtraction [1, 2], noise statistics are updated during speech gaps and subtracted from a corrupt signal during speech intervals. Some means of explicit speech, non-speech detection is therefore essential. Recent pr...

Problem statement: Dialects of Thai are quite different in the speaking styles. Environmental noises play an important role in corrupting the communication speech quality. Two factors affect the coded speech in the present speech communication. It is necessary to investigate how the two factors influence on the speech compression. Approach: In this study, the Multi-Pulse based Code Excited Line...

The speech enhancement problem comprises of various problems characterized by the type of noise source, the nature of interaction between speech and noise, the number of sensor signals (microphone outputs) available for enhancement and the nature of the speech application. Noise reduction remains a demanding problem due to wide variety of background noise types (car noise, babble noise, cockpit...

Aiming at the problem of noise overestimation when classical single-channel speech enhancement method suppresses noise, on basis time-frequency mask is put forward to improve quality and separation. First, we estimate prior signal-to-noise ratio from noisy speech, calculate finally combine synthesis enhance speech. Adaptive combines IBM IRM avoid over-suppressing noise. In this paper, processed...