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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5769

Title: Efficient harvesting of Internet audio for resource-scarce ASR
Authors: Davel, MH
Van Heerden, C
Kleynhans, N
Barnard, E
Keywords: Speech recognition
Under-resourced languages
Garbage modeling
Automatic speech recognition (ASR)
Issue Date: Aug-2011
Publisher: The International Speech Communication Association
Citation: Davel, MH, Van Heerden, C, Kleynhans, N and Barnard, E. Efficient harvesting of Internet audio for resource-scarce ASR. 12 Annual Conference of the International Speech Communication Association (Interspeech 2011), Florence, Italy, 27-31 August 2011
Series/Report no.: Workflow;7187
Abstract: Spoken recordings that have been transcribed for human reading (e.g. as captions for audiovisual material, or to provide alternative modes of access to recordings) are widely available in many languages. Such recordings and transcriptions have proven to be a valuable source of ASR data in well-resourced languages, but have not been exploited to a significant extent in under-resourced languages or dialects. Techniques used to harvest such data typically assume the availability of a fairly accurate ASR system, which is generally not available when working with resourcescarce languages. In this work, the authors define a process whereby an ASR corpus is bootstrapped using unmatched ASR models in conjunction with speech and approximate transcriptions sourced from the Internet. They introduce a new segmentation technique based on the use of a phone-internal garbage model, and demonstrate how this technique (combined with limited filtering) can be used to develop a large, high-quality corpus in an underresourced dialect with minimal effort.
Description: 12 Annual Conference of the International Speech Communication Association (Interspeech 2011), Florence, Italy, 27-31 August 2011
URI: http://hdl.handle.net/10204/5769
ISBN: 9781618392701
Appears in Collections:Human language technologies
General science, engineering & technology

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