In this paper we present a rnethod to predict if two words are likely to be confused by an Autornatic SpeechRecognition (ASR) systern. This method is based on the c1assical Dynamic Time Warping (DTW) technique. This technique, which is usually used in ASR to measure the distance between two speech signals, is usedhere to calculate the distance between two words. With this distance the words are c1assified as confusable or not confusable using a threshold. We have tested the methodin ac1assicalfalse acceptance/false rejection framework and the Equal Error Rate (EER) was measured to be less than 3%.Peer Reviewe
Considering personal privacy and difficulty of obtaining training material for many seldom used Engl...
Speech synthesis and recognition are the basic techniques used for man-machine communication. This t...
Evaluation of hardness of a given automatic speech recognition task - once a specific language has b...
In this paper we present a rnethod to predict if two words are likely to be confused by an Autornati...
In this work we investigate new inter-phone and inter-word distances and we apply them to predict if...
Speech recognition is playing a major role in today‟s daily life. Dynamic Time Warping (DTW) algorit...
Common approaches to automatic speech recognition (ASR) are based on training statistical models for...
Abstract—The technique of dynamic programming for the time regis-tration of a reference and a test p...
We are addressing the problem of jointly using multiple noisy speech patterns for automatic speech...
Pronunciation modeling in automatic speech recognition systems has had mixed results in the past; on...
En este trabajo se investigan nuevas distancias entre fonemas y entre palabras que se han usado par...
We consider the biggest challenge in speech recognition – noise reduction. Traditionally detected tr...
Extending previous work on prediction of phoneme recogni-tion error from unlabelled data, corrupted ...
In this paper, the effects of two major design choices on the performance of an isolated word speech...
Considering personal privacy and difficulty of obtaining training material for many seldom used Engl...
Considering personal privacy and difficulty of obtaining training material for many seldom used Engl...
Speech synthesis and recognition are the basic techniques used for man-machine communication. This t...
Evaluation of hardness of a given automatic speech recognition task - once a specific language has b...
In this paper we present a rnethod to predict if two words are likely to be confused by an Autornati...
In this work we investigate new inter-phone and inter-word distances and we apply them to predict if...
Speech recognition is playing a major role in today‟s daily life. Dynamic Time Warping (DTW) algorit...
Common approaches to automatic speech recognition (ASR) are based on training statistical models for...
Abstract—The technique of dynamic programming for the time regis-tration of a reference and a test p...
We are addressing the problem of jointly using multiple noisy speech patterns for automatic speech...
Pronunciation modeling in automatic speech recognition systems has had mixed results in the past; on...
En este trabajo se investigan nuevas distancias entre fonemas y entre palabras que se han usado par...
We consider the biggest challenge in speech recognition – noise reduction. Traditionally detected tr...
Extending previous work on prediction of phoneme recogni-tion error from unlabelled data, corrupted ...
In this paper, the effects of two major design choices on the performance of an isolated word speech...
Considering personal privacy and difficulty of obtaining training material for many seldom used Engl...
Considering personal privacy and difficulty of obtaining training material for many seldom used Engl...
Speech synthesis and recognition are the basic techniques used for man-machine communication. This t...
Evaluation of hardness of a given automatic speech recognition task - once a specific language has b...