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Automatic Speech Recognition
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Voice Dialing System
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Matching in Frequency Domain
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Dynamic Time Warping
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DTW algorithm
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Matching Templates
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DTW issues
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More reliable matching
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More reliable distances
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Extending template model
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Training an acoustic model
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Language Model Estimate cost of sequence of words in the language • Need appropriate training data
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Pronunciation Model
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Measuring ASR Success
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How good is good?
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ASR Discussion Point
Description:
Learn about automatic speech recognition in this 40-minute lecture from CMU's Multilingual Natural Language Processing course. Explore pronunciation modeling, acoustic modeling, and language modeling. Dive into topics like voice dialing systems, dynamic time warping, template matching, and training acoustic models. Understand how to estimate language model costs, measure ASR success, and discuss key points in speech recognition technology. Access additional course materials through the provided class website.

CMU Multilingual NLP 2020 - Automatic Speech Recognition

Graham Neubig
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