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» The limits of speech recognition
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ICASSP
2011
IEEE
13 years 1 months ago
Speech processing with a cortical representation of audio
Neurophysiological studies in the primary auditory cortex have recently demonstrated a rich diversity of responses that provide an explicit multidimensional representation of phon...
Nima Mesgarani, Shihab A. Shamma
NOLISP
2005
Springer
14 years 3 months ago
Exploiting High-Level Information Provided by ALISP in Speaker Recognition
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
Asmaa El Hannani, Dijana Petrovska-Delacrét...
ICASSP
2011
IEEE
13 years 1 months ago
Sentence level emotion recognition based on decisions from subsentence segments
Emotion recognition from speech plays an important role in developing affective and intelligent systems. This study investigates sentence-level emotion recognition. We propose to ...
Je Hun Jeon, Rui Xia, Yang Liu
SMC
2007
IEEE
14 years 4 months ago
Mental tension detection in the speech based on physiological monitoring
— The focus of this paper is mental tension detection in speech to assist control the tension in day-to-day business such as conferences and operations in a call center. It is di...
Michiaki Ariga, Yoshikazu Yano, Shinji Doki, Shige...
ISCAS
2003
IEEE
124views Hardware» more  ISCAS 2003»
14 years 3 months ago
Improving the filter bank of a classic speech feature extraction algorithm
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
Mark D. Skowronski, John G. Harris