Add to ORKGIn this paper, a basic Mandarin broadcast news speech recognition system is constructed using the MATBN database. It considers the acoustic modeling for Mandarin base-syllables, particles, and paralinguistic phenomena. It also considers environment-dependent acoustic modeling for three recording environments: studio anchors, outdoor reporters, and outdoor interviewee. Moreover, it incorporates a bigram language model with adaptation using data in MATBN. Syllable recognition rates of 89.64, 84.42and 61.62 % were achieved for the three environments of anchors, reporters and interviewees, respectively. 1
[[abstract]]Discriminative training of acoustic models has been an active focus of much current rese...
In this paper, a new approach of using temporal information to assist in Mandarin speech recognition...
This paper presents an empirical study of word error minimization approaches for Mandarin large voca...
This paper discusses the development of the CU-HTK Mandarin Broadcast News (BN) transcription system...
This article investigates the use of several lightly supervised and data-driven approaches to Mandar...
We explore the integration of multiple factors such as genre and speaker gender for acoustic model a...
[[abstract]]This study investigates language modeling for Mandarin continuous speech recognition. Fi...
[[abstract]]A project to collect Mandarin speech data across Taiwan (MAT) will generate a speech dat...
The MATBN 2002 Mandarin Chinese broadcast news corpus contains a total of 40 hours of broadcast news...
This paper considers dynamic language model adaptation for Mandarin broadcast news recognition. Both...
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and ...
[[abstract]]This thesis investigated the use of various kinds of confidence measures for Mandarin la...
This paper gives a comprehensive survey of the recognition techniques that have been applied to Chin...
This paper presents a new framework for improved large vocabulary Mandarin speech recognition using ...
[[abstract]]N-gram language modeling is a crucial component in any speech recognizer since it is exp...
[[abstract]]Discriminative training of acoustic models has been an active focus of much current rese...
In this paper, a new approach of using temporal information to assist in Mandarin speech recognition...
This paper presents an empirical study of word error minimization approaches for Mandarin large voca...
This paper discusses the development of the CU-HTK Mandarin Broadcast News (BN) transcription system...
This article investigates the use of several lightly supervised and data-driven approaches to Mandar...
We explore the integration of multiple factors such as genre and speaker gender for acoustic model a...
[[abstract]]This study investigates language modeling for Mandarin continuous speech recognition. Fi...
[[abstract]]A project to collect Mandarin speech data across Taiwan (MAT) will generate a speech dat...
The MATBN 2002 Mandarin Chinese broadcast news corpus contains a total of 40 hours of broadcast news...
This paper considers dynamic language model adaptation for Mandarin broadcast news recognition. Both...
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and ...
[[abstract]]This thesis investigated the use of various kinds of confidence measures for Mandarin la...
This paper gives a comprehensive survey of the recognition techniques that have been applied to Chin...
This paper presents a new framework for improved large vocabulary Mandarin speech recognition using ...
[[abstract]]N-gram language modeling is a crucial component in any speech recognizer since it is exp...
[[abstract]]Discriminative training of acoustic models has been an active focus of much current rese...
In this paper, a new approach of using temporal information to assist in Mandarin speech recognition...
This paper presents an empirical study of word error minimization approaches for Mandarin large voca...