This course on multilingual natural language processing focuses on text-to-speech systems, efficient TTS system building for low-resource languages, and challenges in handling multilinguality. Students will learn about text analysis, pronunciation, prosody, waveform generation, corpus-based synthesis, voice building tools, data acquisition, cross-lingual models, evaluation, and more. The teaching method includes lectures, discussions, and practical applications. This course is intended for students and professionals interested in multilingual NLP and TTS technology.
Overview
Syllabus
Intro
Text To Speech
Text Analysis
Non-standard words
Pronunciations
Prosody
Expressiveness
Waveform Generation
Corpus Based Synthesis
Voice building tools
Finding Data
Cross Lingual Models
Evaluation
TTS Summary
TTS Discussion Point
Taught by
Graham Neubig
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CMU Multilingual NLP 2022 - Speech
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CMU Multilingual NLP 2020 - Low Resource ASR
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CMU Multilingual NLP 2020 - Speech
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CMU Multilingual NLP 2020 - Multilingual Training and Cross-Lingual Transfer
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CMU Multilingual NLP: Language Contact and Similarity Across Languages
