Implications for asr models
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This work outlines the problems encountered in modeling pro- nunciation for automatic speech recognition (ASR) of spontaneous (American) English speech. We detail some of the phonetic phe- nomena within the Switchboard corpus that make the recognition of this speaking style difficult. Phonetic transcribers found that fea- ture spreading and cue trading made identification of phonetic seg- mental boundaries problematic. Including different forms of con- text in pronunciation models, however, may alleviate these prob- lems in the ASR domain.
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