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facebookresearch
seamless_communication
Jupyter Notebook2023–2023
facebookresearch / seamless_communication

seamless_communication

Foundational Models for State-of-the-Art Speech and Text Translation

8Distinct people
9Mentions
0Explicit recommenders
11.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Foundational Models for State-of-the-Art Speech and Text Translation

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week9 dated mentions

Observed mentions: 2023-08-22 16:19:11 UTC to 2023-12-01 18:17:31 UTC. Weeks start Monday, UTC.

02462023-08-21 00:00:00 UTC to 2023-08-28 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 commentsAug 212023-08-28 00:00:00 UTC to 2023-09-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-04 00:00:00 UTC to 2023-09-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-11 00:00:00 UTC to 2023-09-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-18 00:00:00 UTC to 2023-09-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-25 00:00:00 UTC to 2023-10-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-02 00:00:00 UTC to 2023-10-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-09 00:00:00 UTC to 2023-10-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 92023-10-16 00:00:00 UTC to 2023-10-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-23 00:00:00 UTC to 2023-10-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-30 00:00:00 UTC to 2023-11-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-06 00:00:00 UTC to 2023-11-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-13 00:00:00 UTC to 2023-11-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-20 00:00:00 UTC to 2023-11-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-27 00:00:00 UTC to 2023-12-04 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 commentsNov 27

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 212023-08-21 00:00:00 UTC2023-08-28 00:00:00 UTC615
Aug 282023-08-28 00:00:00 UTC2023-09-04 00:00:00 UTC000
Sep 42023-09-04 00:00:00 UTC2023-09-11 00:00:00 UTC000
Sep 112023-09-11 00:00:00 UTC2023-09-18 00:00:00 UTC000
Sep 182023-09-18 00:00:00 UTC2023-09-25 00:00:00 UTC000
Sep 252023-09-25 00:00:00 UTC2023-10-02 00:00:00 UTC000
Oct 22023-10-02 00:00:00 UTC2023-10-09 00:00:00 UTC000
Oct 92023-10-09 00:00:00 UTC2023-10-16 00:00:00 UTC000
Oct 162023-10-16 00:00:00 UTC2023-10-23 00:00:00 UTC000
Oct 232023-10-23 00:00:00 UTC2023-10-30 00:00:00 UTC000
Oct 302023-10-30 00:00:00 UTC2023-11-06 00:00:00 UTC000
Nov 62023-11-06 00:00:00 UTC2023-11-13 00:00:00 UTC000
Nov 132023-11-13 00:00:00 UTC2023-11-20 00:00:00 UTC000
Nov 202023-11-20 00:00:00 UTC2023-11-27 00:00:00 UTC000
Nov 272023-11-27 00:00:00 UTC2023-12-04 00:00:00 UTC303

What Hacker News says

9 sources
I'm reposting from here[0][1][2] because there was no discussion The original title is "Introducing a suite of AI language translation models that preserve expression and improve streaming". I've shortened it here so that it's more obvious that these models are from Meta (and worth discussing). The code is on GitHub: https://github.com/facebookresearch/seamless_communication From the GitHub: SeamlessM4T is our foundational all-in-one Massively Multilingual and Multimodal Machine Translation model delivering high-quality translation for speech and text in nearly 100 languages. SeamlessM4T models support the tasks of: - Speech-to-speech translation (S2ST) - Speech-to-text translation (S2TT) - Text-to-speech translation (T2ST) - Text-to-text translation (T2TT) - Automatic speech recognition (ASR) A wild guess: Meta goin
Read the rest
g to be working on embedding this into hardware as fast as possible so that you can chat to anyone on the planet, no matter which language they speak Related papers: - Zero-shot Expressive Speech-to-Speech Translation: https://ai.meta.com/research/publications/sonar-expressive-z... - Efficient Monotonic Multihead Attention: https://ai.meta.com/research/publications/efficient-monotoni... - Multilingual Expressive and Streaming Speech Translation [0] https://news.ycombinator.com/item?id=38477728 [1] https://news.ycombinator.com/item?id=38479724 [2] https://news.ycombinator.com/item?id=37232489
In AI language translation models by Meta
I wish that Meta would release models like SeamlessM4T[0] under the same license as llama2, or an even better one. I don't understand the rationale for keeping it under a completely non-commercial license, but I agree that is better than not releasing anything at all. There seem to be opportunities for people to use technology like SeamlessM4T to improve lives, if it were licensed correctly, and I don't see how any commercial offering from smaller companies would compete with anything that Meta does. Last I checked, Meta has never offered any kind of translation or transcription API that third parties can use. Whisper is licensed more permissively and does a great job with speech to text in some languages, and it can translate to English only. However, it can't translate between a large number of languages, and it doesn't have any kind of
Read the rest
text to speech or speech to speech capabilities. SeamlessM4T seems like it would be an all-around upgrade. [0]: https://github.com/facebookresearch/seamless_communication
In Code Llama, a state-of-the-art large language model for coding

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