Noise estimation Algorithms for Speech Enhancement in highly non-stationary Environments
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 speech signal, before applying to these systems we have to remove the noise component from noisy speech signal means enhanced speech signal can be applied to these systems. In most speech enhancement algorithms, it is assumed that an estimate of noise spectrum is available. Noise estimate is critical part and it is important for speech enhancement algorithms. If the noise estimate is too low then annoying residual noise will be available and if the noise estimate is too high then speech will get distorted and loss intelligibility. This paper focus on the different approaches of noise estimation. Section I introduction, Section II explains simple approach of Voice activity detector (VAD) for noise estimation, Section III explains different classes of noise estimation algorithms, Section IV explains performance evaluation of noise estimation algorithms, Section V conclusion.
Keywords: speech enhancement, Noise, VAD, FFT, Histogram
Download Full-Text
