Voice activity detection algorithm using nonlinear spectral weights, hangover and hangbefore criteria

Author:

Vlaj Damjan,Kačič Zdravko,Kos Marko

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference37 articles.

1. Kotnik B, Vlaj D, Kacic Z, Horvat B. Robust MFCC feature extraction algorithm using efficient additive and convolutional noise reduction procedures. In: Proceedings of international conference on spoken language processing (ICSLP). Denver, Colorado, USA, September 2002. p. 445–8.

2. ETSI standard document: Speech Processing, Transmission and Quality aspects (STQ), Distributed speech recognition, Advanced front-end feature extraction algorithm, Compression algorithm. ETSI ES 202 050 v1.1.1, Valbonne, France; 2002.

3. Kotnik B, Kacic Z, Horvat B. A multiconditional robust front-end feature extraction with a noise reduction procedure based on improved spectral subtraction algorithm. In: Proceedings of the European conference on speech communication and technology (EUROSPEECH). Aalborg, Denmark, September 2001. p. 197–200.

4. Andrassy B, Vlaj D, Beaugeant C. Recognition performance of the siemens front-end with and without frame dropping on the Aurora 2 database. In: Proceedings of the European Conference on speech communication and technology (EUROSPEECH). Aalborg, Denmark, September 2001. p. 193–6.

5. Benitez C, Burget L, Chen B, et al, Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora tasks. In: Proceedings of European conference on speech communication and technology (EUROSPEECH). Aalborg, Denmark, September 2001, p. 429–32.

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