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SPEECH
2010
210views more  SPEECH 2010»
13 years 3 months ago
An overview of text-independent speaker recognition: From features to supervectors
This paper gives an overview of automatic speaker recognition technology, with an emphasis on text-independent recognition. Speaker recognition has been studied actively for sever...
Tomi Kinnunen, Haizhou Li
ICASSP
2011
IEEE
12 years 9 months ago
Non-stationary feature extraction for automatic speech recognition
In current speech recognition systems mainly Short-Time Fourier Transform based features like MFCC are applied. Dropping the short-time stationarity assumption of the voiced speec...
Zoltán Tüske, Pavel Golik, Ralf Schl&u...
SPEECH
2008
97views more  SPEECH 2008»
13 years 5 months ago
Extraction and representation of prosodic features for language and speaker recognition
In this paper, we propose a new approach for extracting and representing prosodic features directly from the speech signal. We hypothesize that prosody is linked to linguistic uni...
Leena Mary, B. Yegnanarayana
ICMCS
2005
IEEE
128views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Low-complexity automatic speaker recognition in the compressed GSM AMR domain
This paper presents an experimental implementation of a low-complexity speaker recognition algorithm working in the compressed speech domain. The goal is to perform speaker modeli...
Matteo Petracca, Antonio Servetti, Juan Carlos De ...
ICASSP
2008
IEEE
13 years 11 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose