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CMU Multilingual NLP 2020 - Low Resource ASR

Graham Neubig via YouTube

Overview

This course focuses on applying Automatic Speech Recognition (ASR) systems to low- or no-resource languages. The learning outcomes include understanding ASR without transcribed data, cross-lingual phone recognition, speech translation, and iterative decoding in different languages. The course teaches skills such as intent discovery from acoustics, keyword matching, and discussing ASR with no data. The teaching method involves lectures and discussions. This course is intended for students and professionals interested in multilingual natural language processing and ASR technology.

Syllabus

Intro
ASR with no Lexicon
ASR without transcribed data
CMU Wildemess
Cross-Lingual Phone Recognition
TTS without the Text
Iterative Decoding: German
Iterative Decoding: English
Speech Translation
Intent Discovery from Acoustics
Keyword Matching
ASR no data: Discussion Point

Taught by

Graham Neubig

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