Noise Estimation and Noise Removal Techniques for Speech Recognition in Adverse Environment - Intelligent Information Processing V Access content directly
Conference Papers Year : 2010

Noise Estimation and Noise Removal Techniques for Speech Recognition in Adverse Environment

Abstract

Noise is ubiquitous in almost all acoustic environments. The speech signal, that is recorded by a microphone is generally infected by noise originating from various sources. Such contamination can change the characteristics of the speech signals and degrade the speech quality and intelligibility, thereby causing significant harm to human-to-machine communication systems. Noise detection and reduction for speech applications is often formulated as a digital filtering problem, where the clean speech estimation is obtained by passing the noisy speech through a linear filter. With such a formulation, the core issue of noise reduction becomes how to design an optimal filter that can significantly suppress noise without noticeable speech distortion. This paper focuses on voice activity detection, noise estimation, removal techniques and an optimal filter.
Fichier principal
Vignette du fichier
Noise_Estimation_and_Noise_Removal_Techniques_for_Speech_Recognition_in_Adverse_Environment.pdf (152.47 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01055058 , version 1 (11-08-2014)

Licence

Attribution

Identifiers

Cite

Urmila Shrawankar, Vilas Thakare. Noise Estimation and Noise Removal Techniques for Speech Recognition in Adverse Environment. 6th IFIP TC 12 International Conference on Intelligent Information Processing (IIP), Oct 2010, Manchester, United Kingdom. pp.336-342, ⟨10.1007/978-3-642-16327-2_40⟩. ⟨hal-01055058⟩
156 View
4801 Download

Altmetric

Share

Gmail Facebook X LinkedIn More