An improved feed forward adaptive Active Noise Control (ANC) scheme is proposed by using Voice Activity Detector (VAD) and wiener filtering method. The ‘speech-plus-noise’ periods and ‘noise-only’ periods are separated using VAD and the unwanted noise is removed by adaptive filtering method. By using Speech Distortion WeightedMultichannel Wiener Filtering (SDW-MWF) algorithm the noise periods w...

In this paper, a noise estimator with rapid adaptation in a variable-level noisy environment is presented. To make noise estimation adapt quickly to highly non-stationary noise environments, a robust voice activity detector (VAD) is utilized in this paper and it depends on the variation of the spectral energy not on the amount of that. The noise power spectrum in subbands are estimated by avera...

Accurate discrimination between speech and non-speech is an essential part in many tasks of speech processing systems. In this paper an approach to the classification part of a Voice Activity Detector (VAD) is presented. Some possible shortcomings of presentVAD-systems are described and a classification approach which overcomes these weaknesses is derived. This approach is based on a Self-Organ...

This paper describes the algorithms for speech SNR estimation and the tool snr where these methods are implemented. The definitions of SNR optimized for speech application are summarized and implemented in above mentioned tool. The described tool can estimate the SNR of noisy speech signal with or without reference signal. The tool also can be used to create a speech and noise mixture with requ...

This paper describes a proposed comfort noise system for a network echo canceller. In this system, any residual echo is suppressed using a single threshold centre-clipper, but instead of transmitting silence to the far-end of the network, a synthetic version of the background sounds is sent. This masks any ‘noise modulation’ or ‘noise pumping’ that may otherwise occur. The background sounds are...

A new voice activity detector for noisy environments is proposed. In conventional algorithms, the endpoint of speech is found by applying an edge detection filter that finds the abrupt changing point in a feature domain. However, since the frame energy feature is unstable in noisy environments, it is difficult to accurately find the endpoint of speech. Therefore, a novel feature extraction algo...

In this paper, we introduce a Markov-switching generalized autoregressive conditional heteroscedasticity (GARCH) model in the short-time Fourier transform (STFT) domain. A GARCH model is utilized with Markov switching regimes, where the parameters are assumed to be frequency variant. The model parameters are evaluated in each frequency subband and a special state (regime) is de ned for the case...

A second-generation wavelet based implementation of two adaptive noise estimation algorithms, which do not require explicit use of voice activity detector or signal statistics learning process, is introduced. The first algorithm utilises a smoothing parameter based on estimation of the wavelet subbands signal-to-noise ratio of the signal. The second algorithm is based on tracking the minimum va...

Mobile technology plays a vital role in modern era. In the emerging trend of speech technologies, speech/non-speech detection is an unsolved problem, which affects numerous speech related applications. One of the major reasons for these thefts is the unauthenticated access to the car doors and engine. Recently the Remote keyless system emerged for users to operate their cars without keys. For i...

The human voice is a critical social cue, and listeners are extremely sensitive to the voices in their environment. One of the most salient voices in a child's life is mother's voice: Infants discriminate their mother's voice from the first days of life, and this stimulus is associated with guiding emotional and social function during development. Little is known regarding the functional circui...