An Overview of the SPRACH System for the Transcription of Broadcast News

Cook, Gary; Christie, James; Ellis, Daniel P. W.; Fosler‐Lussier, Eric; Gotoh, Yoshi; Kingsbury, Brian; Morgan, Nelson; Renals, Steve; Robinson, Tony; Williams, Gethin

doi:10.7916/d80291xn

Cited by 12 publications

References 8 publications

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Cross-lingual audio-to-text alignment for multimedia content management

Lyu

Chiang

et al. 2008

Decision Support Systems

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This paper addresses a content management problem in situations where we have a collection of spoken documents in audio stream format in one language and a collection of related text documents in another. In our case, we have a huge digital archive of audio broadcast news in Taiwanese, but we do not have transcriptions for it. Meanwhile, we have a collection of related text-based news stories, but they are written in Chinese characters. Due to the lack of a standard written form for Taiwanese, manual transcription of spoken documents is prohibitively expensive, and automatic transcription by speech recognition is infeasible because of its poor performance for Taiwanese spontaneous speech.We present an approximate solution by aligning Taiwanese spoken documents with related text documents in Mandarin. The idea is to take advantage of the abundance of Mandarin text documents available in our application to compensate for the limitations of speech recognition systems.Experimental results show that even though our speech recognizer for spontaneous Taiwanese performs poorly, we still achieve a high (82.5%) alignment accuracy.

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Cross-lingual audio-to-text alignment for multimedia content management

Lyu

Chiang

et al. 2008

Decision Support Systems

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Multi-level decision trees for static and dynamic pronunciation models

Fosler‐Lussier¹

1999

6th European Conference on Speech Communication and Technology

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Integrated transcription and identification of named entities in broadcast speech

Renals¹,

Gotoh²

1999

6th European Conference on Speech Communication and Technology (Eurospeech 1999)

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This paper presents an approach to integrating functions for both transcription and named entity (NE) identification into a large vocabulary continuous speech recognition system. It builds on NE tagged language modelling approach, which was recently applied for development of the statistical NE annotation system. We also present results for proper name identification experiment using the Hub-4 evaluation data.

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An Overview of the SPRACH System for the Transcription of Broadcast News

Cited by 12 publications

References 8 publications

Cross-lingual audio-to-text alignment for multimedia content management

Cross-lingual audio-to-text alignment for multimedia content management

Multi-level decision trees for static and dynamic pronunciation models

Integrated transcription and identification of named entities in broadcast speech

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