Unbiased MMSE-based noise power estimation with low complexity and low tracking delay
Recently, it has been proposed to estimate the noise power spectral density by means of
minimum mean-square error (MMSE) optimal estimation. We show that the resulting …
minimum mean-square error (MMSE) optimal estimation. We show that the resulting …
A statistical model-based voice activity detection
In this letter, we develop a robust voice activity detector (VAD) for the application to variable-
rate speech coding. The developed VAD employs the decision-directed parameter …
rate speech coding. The developed VAD employs the decision-directed parameter …
Noise power spectral density estimation based on optimal smoothing and minimum statistics
R Martin - IEEE Transactions on speech and audio processing, 2001 - ieeexplore.ieee.org
We describe a method to estimate the power spectral density of nonstationary noise when a
noisy speech signal is given. The method can be combined with any speech enhancement …
noisy speech signal is given. The method can be combined with any speech enhancement …
Efficient voice activity detection algorithms using long-term speech information
Currently, there are technology barriers inhibiting speech processing systems working under
extreme noisy conditions. The emerging applications of speech technology, especially in the …
extreme noisy conditions. The emerging applications of speech technology, especially in the …
[書籍][B] Digital speech: coding for low bit rate communication systems
AM Kondoz - 2005 - books.google.com
Building on the success of the first edition Digital Speech offers extensive new, updated and
revised material based upon the latest research. This Second Edition continues to provide …
revised material based upon the latest research. This Second Edition continues to provide …
A noise-estimation algorithm for highly non-stationary environments
S Rangachari, PC Loizou - Speech communication, 2006 - Elsevier
A noise-estimation algorithm is proposed for highly non-stationary noise environments. The
noise estimate is updated by averaging the noisy speech power spectrum using time and …
noise estimate is updated by averaging the noisy speech power spectrum using time and …
[書籍][B] DFT-domain based single-microphone noise reduction for speech enhancement: A survey of the state-of-the-art
As speech processing devices like mobile phones, voice controlled devices, and hearing
aids have increased in popularity, people expect them to work anywhere and at any time …
aids have increased in popularity, people expect them to work anywhere and at any time …
Voice activity detection based on multiple statistical models
One of the key issues in practical speech processing is to achieve robust voice activity
detection (VAD) against the background noise. Most of the statistical model-based …
detection (VAD) against the background noise. Most of the statistical model-based …
Statistical voice activity detection using low-variance spectrum estimation and an adaptive threshold
Traditionally, voice activity detection algorithms are based on any combination of general
speech properties such as temporal energy variations, periodicity, and spectrum. This paper …
speech properties such as temporal energy variations, periodicity, and spectrum. This paper …