Seamless Communication
Date : 2023-11-30
Description
Summary drafted by a large language model.
In this article, Meta present Seamless Communication, a system that enables authentic conversations by preserving key elements of speech such as tone of voice, pauses, and emphasis. The system includes SeamlessExpressive, a model for expressive speech-to-speech translation, and SeamlessStreaming, a streaming translation model with around two seconds of latency. These models are built on SeamlessM4T v2, Meta's latest foundational model for multilingual machine translation. The authors also discuss the release of metadata, data and data alignment tools to assist the research community in building on this work.
Read article below, which links to research paper and GitHub repo
Recently on :
Artificial Intelligence
Research
PITTI - 2026-03-05
Scaling Trust : a Missing Piece in Multi-Agent Worlds
Humanity’s ability to build complex civilizations relies on an "invisible infrastructure" - the shared culture, institutions, a...
PITTI - 2026-01-14
Cultural, Ideological and Political Bias in LLMs
Transcription of a talk given during the work sessions organized by Technoréalisme on December 9, 2025, in Paris. The talk pres...
WEB - 2025-11-13
Measuring political bias in Claude
Anthropic gives insights into their evaluation methods to measure political bias in models.
WEB - 2025-10-09
Defining and evaluating political bias in LLMs
OpenAI created a political bias evaluation that mirrors real-world usage to stress-test their models’ ability to remain objecti...
WEB - 2025-07-23
Preventing Woke AI In Federal Government
Citing concerns that ideological agendas like Diversity, Equity, and Inclusion (DEI) are compromising accuracy, this executive ...