A three-stage architecture for speech recognition is presented including pre-processing, phoneme recognition, and natural language post-processor. Within this context of phoneme-based utterance recognition, this paper focuses on the often problematic speed of the second stage and reengineers a standard Two-Level Dynamic Programming (TLDP) approach to achieve an increase in speed of 75%. Our Fast Two-Level Dynamic Programming Algorithm (FTLDP) uses a phoneme clustering technique to reduce the reference search space and silence detection to reduce the length of the utterance to recognize. An overview of the FTLDP algorithm is presented as well as some results.Une architecture en trois \ue9tapes pour la reconnaissance de la parole est pr\ue9se...
International audienceThis paper describes a very efficient Parallel Phone Recognizersfollowed by La...
Wendt S, Fink GA, Kummert F. Dynamic Search-Space Pruning for Time-Constrained Speech Recognition. I...
Modern Automatic Speech Recognition systems have achieved accuracies sufficient for usage by a large...
Automatic Speech Recognition applications face two challenges: accuracy and speed. For good accuracy...
Research in Automatic Speech Recognition (ASR) has been very intense in recent years with focus give...
In a system of speech recognition containing words, the recognition requires the com-parison between...
Abstract — Natural Language Processing is a technique where machine can become more human and thereb...
The goal of this thesis is to present information which will support programming through speech reco...
In the paper a method of speeding up the response of a CDHMM based speech recognition system is intr...
Abstract- This paper presents a technique of searching a keyword in a spoken utterance using Dynamic...
The result of this work is a fully working and significantly optimized implementation of a dynamic d...
Speech recognition is playing a major role in today‟s daily life. Dynamic Time Warping (DTW) algorit...
We describe a simple spoken utterance classification method suitable for data-sparse domains which c...
Recently, we proposed the Augmented Continuous dynamic time warping algorithm for connected spoken w...
Due to computational bounds, most SVM-based phonotac-tic language recognition systems consider only ...
International audienceThis paper describes a very efficient Parallel Phone Recognizersfollowed by La...
Wendt S, Fink GA, Kummert F. Dynamic Search-Space Pruning for Time-Constrained Speech Recognition. I...
Modern Automatic Speech Recognition systems have achieved accuracies sufficient for usage by a large...
Automatic Speech Recognition applications face two challenges: accuracy and speed. For good accuracy...
Research in Automatic Speech Recognition (ASR) has been very intense in recent years with focus give...
In a system of speech recognition containing words, the recognition requires the com-parison between...
Abstract — Natural Language Processing is a technique where machine can become more human and thereb...
The goal of this thesis is to present information which will support programming through speech reco...
In the paper a method of speeding up the response of a CDHMM based speech recognition system is intr...
Abstract- This paper presents a technique of searching a keyword in a spoken utterance using Dynamic...
The result of this work is a fully working and significantly optimized implementation of a dynamic d...
Speech recognition is playing a major role in today‟s daily life. Dynamic Time Warping (DTW) algorit...
We describe a simple spoken utterance classification method suitable for data-sparse domains which c...
Recently, we proposed the Augmented Continuous dynamic time warping algorithm for connected spoken w...
Due to computational bounds, most SVM-based phonotac-tic language recognition systems consider only ...
International audienceThis paper describes a very efficient Parallel Phone Recognizersfollowed by La...
Wendt S, Fink GA, Kummert F. Dynamic Search-Space Pruning for Time-Constrained Speech Recognition. I...
Modern Automatic Speech Recognition systems have achieved accuracies sufficient for usage by a large...