Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 67 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 25 tok/s Pro
GPT-5 High 18 tok/s Pro
GPT-4o 94 tok/s Pro
Kimi K2 173 tok/s Pro
GPT OSS 120B 444 tok/s Pro
Claude Sonnet 4.5 34 tok/s Pro
2000 character limit reached

Decoding visemes: improving machine lipreading (1710.01169v1)

Published 3 Oct 2017 in cs.CV and eess.AS

Abstract: To undertake machine lip-reading, we try to recognise speech from a visual signal. Current work often uses viseme classification supported by LLMs with varying degrees of success. A few recent works suggest phoneme classification, in the right circumstances, can outperform viseme classification. In this work we present a novel two-pass method of training phoneme classifiers which uses previously trained visemes in the first pass. With our new training algorithm, we show classification performance which significantly improves on previous lip-reading results.

Citations (40)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.