Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

MIT 6.S191 - Automatic Speech Recognition

Alexander Amini and Massachusetts Institute of Technology via YouTube

Start learning Write review
Noble Desktop Ad

Live Online Classes in Design, Coding & AI — Small Classes, Free Retakes

Learn More → Corporate Finance Institute Ad

Build the Finance Skills That Lead to Promotions, Not Just Certificates

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This lecture presents the technical design of an end-to-end automatic speech recognition system. It covers speech features, subword units, attention-based encoder-decoders, CTC, language models, decoding, evaluation, data selection, and bias mitigation using human-transcribed data.

Syllabus

Intro
Rev Data
Word Error Rate
Organization Entity
Test Benchmark
Data Selection
Speech Input
Subword Units
Melscale
Encoder Decoder
Speech Recognition
AttentionBased ASR
ConnectionistTemporal Classification
Language Models
Questions

Taught by

https://www.youtube.com/@AAmini/videos

Tags

Reviews

Start your review of MIT 6.S191 - Automatic Speech Recognition

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.