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CMU Multilingual NLP 2022 - Speech

Graham Neubig via YouTube

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Overview

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This introductory lecture examines speech as a signal and source of information, covering waveforms, coding, databases, speech variation, recognition, synthesis, translation, privacy, and enhancement.

Syllabus

Intro
What is speech???
Speech waveform
What kind of information does speech sound contain?
Speech coding
Automatic Speech Recognition (ASR)
Speech Synthesis (TTS: Text to Speech)
Speech Translation
Privacy in speech
Speech enhancement Several types of problems
Speech variations Speaking styles and environments
Read speech examples
Spontaneous speech
Where we found the speech data?

Taught by

Graham Neubig

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