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» An improved SNR estimator for speech enhancement
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TASLP
2008
133views more  TASLP 2008»
13 years 6 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
ICASSP
2011
IEEE
12 years 11 months ago
An optimal filtering for unmasked noise prevention
A new estimator, optimal in the frequency domain with respect to the masking properties of the human auditory system, is proposed. This new filtering technique prevents the emerg...
Asmaa Amehraye, Lionel Fillatre, Dominique Pastor
COLING
2000
13 years 9 months ago
MT and Topic-Based Techniques to Enhance Speech Recognition Systems for Professional Translators
Our principle objective was to reduce the error rate of speech recognition systems used by professional translators. Our work concentrated on Spanish-to-English translation. In a ...
Yevgeny Ludovik, Ron Zacharski
TASLP
2008
102views more  TASLP 2008»
13 years 7 months ago
On the Importance of the Pearson Correlation Coefficient in Noise Reduction
Noise reduction, which aims at estimating a clean speech from noisy observations, has attracted a considerable amount of research and engineering attention over the past few decade...
Jacob Benesty, Jingdong Chen, Yiteng Huang
ICASSP
2007
IEEE
14 years 2 months ago
Robust Adaptive Beamforming Algorithm using Instantaneous Direction of Arrival with Enhanced Noise Suppression Capability
In this paper, we propose a novel adaptive beamforming algorithm with enhanced noise suppression capability. The proposed algorithm incorporates the sound-source presence probabil...
Byung-Jun Yoon, Ivan Tashev, Alex Acero