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SVM-Enabled Voice Activity Detection
2006Detecting the presence of speech in a noisy signal is an unsolved problem affecting numerous speech processing applications. This paper shows an effective method employing support vector machines (SVM) for voice activity detection (VAD) in noisy environments.
Javier Ramírez 0001 +4 more
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Score Function for Voice Activity Detection
2010In this paper we explore the use of non-linear transformations in order to improve the performance of an entropy based voice activity detector (VAD). The idea of using a non-linear transformation comes from some previous work done in speech linear prediction (LPC) field based in source separation techniques, where the score function was added into the ...
Jordi Solé i Casals +3 more
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Super-Audible Voice Activity Detection
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2014In this paper, reflected sound of frequency just above the audible range is used to detect speech activity. The active signal used is inaudible to humans, readily generated by the typical audio circuitry and components found in mobile telephones, and is robust to background sounds such as nearby voices.
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XRDS: Crossroads, The ACM Magazine for Students, 2007
Deepti Singh, Frank Boland
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Deepti Singh, Frank Boland
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rVAD: An unsupervised segment-based robust voice activity detection method
Computer Speech and Language, 2020Zheng-Hua Tan +2 more
exaly
Multi channel voice activity detection
2022MILLER NOLAN ANDREW, MEHRAN RAMIN
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On the improvement of multimodal voice activity detection
Interspeech 2013, 2013Matt Burlick +2 more
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Hybrid voice activity detection system based on LSTM and auditory speech features
Biomedical Signal Processing and Control, 2023Yunus Korkmaz
exaly