Automatic Speech Recognition (ASR) plays an important role in human-computer interaction. For its development, MFCC-based features and HMM-based speech models have been the mos
We have recently developed a new model of human speech recognition, based on automatic speech recog...
This report presents a detail study on psychoacoustic modeling for feature extraction for robust con...
Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speec...
In everyday life, speech is all around us, on the radio, television, and in human-human interaction....
The results of investigations into some aspects of robust speech recognition are reported in this th...
Automatic speech recognition (ASR) systems classify structured sequence data, where the label sequen...
Spoken words convey several levels of information. At the primary level, the speech conveys words or...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
Computer speech recognition gains more and more attention these days with its implementation in near...
Abstract: Speech Recognition is the process of identifying words and phrase from spoken language and...
The performance of an automatic speech recognition (ASR) system strongly depends on the representati...
Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) ...
Several feature extraction techniques, algorithms and toolkits are researched to investigate how spe...
Speech recognition is about what is being said, irrespective of who is saying. Speech recognition is...
Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) ...
We have recently developed a new model of human speech recognition, based on automatic speech recog...
This report presents a detail study on psychoacoustic modeling for feature extraction for robust con...
Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speec...
In everyday life, speech is all around us, on the radio, television, and in human-human interaction....
The results of investigations into some aspects of robust speech recognition are reported in this th...
Automatic speech recognition (ASR) systems classify structured sequence data, where the label sequen...
Spoken words convey several levels of information. At the primary level, the speech conveys words or...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
Computer speech recognition gains more and more attention these days with its implementation in near...
Abstract: Speech Recognition is the process of identifying words and phrase from spoken language and...
The performance of an automatic speech recognition (ASR) system strongly depends on the representati...
Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) ...
Several feature extraction techniques, algorithms and toolkits are researched to investigate how spe...
Speech recognition is about what is being said, irrespective of who is saying. Speech recognition is...
Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) ...
We have recently developed a new model of human speech recognition, based on automatic speech recog...
This report presents a detail study on psychoacoustic modeling for feature extraction for robust con...
Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speec...