Add to ORKGAs speech recognition systems are used in ever more applications, it is crucial for the systems to be able to deal with accented speakers. Various techniques, such as acoustic model adaptation and pronunciation adaptation, have been reported to improve the recognition of non-native or accented speech. In this paper, we propose a new approach that combines accent detection, accent discriminative acoustic features, acoustic adaptation and model selection for accented Chinese speech recognition. Experimental results show that this approach can improve the recognition of accented speech. 1
likely that Chinese speakers will pronounce an English phone as a similar phone in Chinese. Nowadays...
Traditionally, work in automatic accent recognition has followed a similar research trajectory to th...
Pronunciations of Beijing Mandarin are those of Standard Mandarin (hereafter Mandarin), which develo...
As speech recognition systems are used in ever more applications, it is crucial for the systems to b...
Various techniques, such as acoustic model adaptation and pronunciation adaptation, have been report...
Automatic speech recognition technology has developed rapidly in the past decade. Applications of th...
The performance of speech recognition systems degrades when speaker accent is different from that in...
Abstract—Accent is a critically important component of spoken communication. In this paper, we use a...
Multiple accents are often present in Mandarin speech, as most Chi-nese have learned Mandarin as a s...
To make full use of a small development data set to build a robust dialectal Chinese speech recogniz...
In this paper, we propose a discriminative dynamic Gaussian mixture selection (DGMS) strategy to gen...
Recognition of foreign accented speech remains among the most difficult tasks in automatic speech re...
In China, there are thousand kinds of dialects and sub-dialects. Because there are many differences ...
The predominant language model for speech recognition is n-gram language model, which is locally lea...
The focus in automatic speech recognition (ASR) research has gradually shifted from read speech to s...
likely that Chinese speakers will pronounce an English phone as a similar phone in Chinese. Nowadays...
Traditionally, work in automatic accent recognition has followed a similar research trajectory to th...
Pronunciations of Beijing Mandarin are those of Standard Mandarin (hereafter Mandarin), which develo...
As speech recognition systems are used in ever more applications, it is crucial for the systems to b...
Various techniques, such as acoustic model adaptation and pronunciation adaptation, have been report...
Automatic speech recognition technology has developed rapidly in the past decade. Applications of th...
The performance of speech recognition systems degrades when speaker accent is different from that in...
Abstract—Accent is a critically important component of spoken communication. In this paper, we use a...
Multiple accents are often present in Mandarin speech, as most Chi-nese have learned Mandarin as a s...
To make full use of a small development data set to build a robust dialectal Chinese speech recogniz...
In this paper, we propose a discriminative dynamic Gaussian mixture selection (DGMS) strategy to gen...
Recognition of foreign accented speech remains among the most difficult tasks in automatic speech re...
In China, there are thousand kinds of dialects and sub-dialects. Because there are many differences ...
The predominant language model for speech recognition is n-gram language model, which is locally lea...
The focus in automatic speech recognition (ASR) research has gradually shifted from read speech to s...
likely that Chinese speakers will pronounce an English phone as a similar phone in Chinese. Nowadays...
Traditionally, work in automatic accent recognition has followed a similar research trajectory to th...
Pronunciations of Beijing Mandarin are those of Standard Mandarin (hereafter Mandarin), which develo...