# facebookresearch/seamless_communication

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11,797 stars · 1,174 forks · Jupyter Notebook · NOASSERTION

## Links

- GitHub: https://github.com/facebookresearch/seamless_communication
- awesome-repositories: https://awesome-repositories.com/repository/facebookresearch-seamless-communication.md

## Description

This project is a multimodal translation framework and large language model capable of speech-to-speech, speech-to-text, and text-to-text translation across nearly 100 languages. It provides a real-time speech translation engine and a comprehensive toolkit for converting spoken audio between languages.

The system is distinguished by its ability to preserve the original speaker's tone, pace, and prosody during translation. It utilizes a specialized on-device inference toolkit that converts model checkpoints into C-based libraries, enabling low-latency execution on mobile and edge hardware without a Python runtime.

The framework covers a wide range of capabilities including automatic speech recognition, expressive speech synthesis, and real-time translation streaming. It also includes audio content moderation for toxicity detection and tools for multimodal translation evaluation and distributed model fine-tuning.

The project is implemented using Jupyter Notebooks.

## Tags

### Artificial Intelligence & ML

- [Speech-to-Speech Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/speech-to-speech-translation.md) — Converts spoken audio from one language into spoken audio in another language while preserving tone and prosody. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/on_device_README.md))
- [Simultaneous Speech Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/real-time-speech-processing/simultaneous-speech-translation.md) — Implements a real-time engine that translates spoken audio between languages while preserving the speaker's tone and pace.
- [Speech-to-Text Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/audio-transcription/end-to-end-pipelines/speech-to-text-translation.md) — Directly maps audio waveforms to target language text using combined recognition and translation models. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/README.md))
- [Simultaneous](https://awesome-repositories.com/f/artificial-intelligence-ml/audio-transcription/end-to-end-pipelines/speech-to-text-translation/simultaneous.md) — Translates spoken input from a source language into written text in a target language during the stream. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/streaming/README.md))
- [Multilingual Transcription](https://awesome-repositories.com/f/artificial-intelligence-ml/audio-transcription/multilingual-transcription.md) — Converts spoken audio into written text across nearly 100 languages with automatic language detection.
- [Real-Time Transcription](https://awesome-repositories.com/f/artificial-intelligence-ml/audio-transcription/real-time-transcription.md) — Converts spoken audio into text across dozens of languages as the audio stream is received. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/streaming/README.md))
- [Disentanglement Mechanisms](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-ai-models/latent-space-generative-models/disentanglement-mechanisms.md) — Separates semantic content from vocal style to synthesize speech that preserves the original speaker's emotional nuance.
- [Automatic Speech Recognition](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/automatic-speech-recognition.md) — Transcribes spoken audio into text in the original language across multiple languages. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/ggml))
- [Neural Machine Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/neural-machine-translation.md) — Generates translated text or speech from multimodal inputs using sequence-to-sequence models. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/setup.py))
- [Simultaneous Speech-to-Speech Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/speech-translation-systems/simultaneous-speech-to-speech-translation.md) — Provides real-time translation of spoken audio from a source language into synthesized speech in a target language. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/streaming/README.md))
- [Multimodal Embedding Models](https://awesome-repositories.com/f/artificial-intelligence-ml/multimodal-embedding-models.md) — Maps text and speech into a shared language-agnostic vector space to facilitate cross-modal similarity search.
- [Multimodal Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/multimodal-translation.md) — Translates content across nearly 100 languages using speech and text modalities. ([source](https://github.com/facebookresearch/seamless_communication#readme))
- [Multimodal Translation Models](https://awesome-repositories.com/f/artificial-intelligence-ml/multimodal-translation-models.md) — Provides a foundation model for speech-to-speech, speech-to-text, and text-to-text translation across nearly 100 languages.
- [Real-Time Speech Processing](https://awesome-repositories.com/f/artificial-intelligence-ml/real-time-speech-processing.md) — Implements an inference pipeline for low-latency, simultaneous translation of audio into text or speech.
- [Speech to Text Transcription](https://awesome-repositories.com/f/artificial-intelligence-ml/speech-to-text-transcription.md) — Converts spoken audio into written text through automatic speech recognition. ([source](https://github.com/facebookresearch/seamless_communication#readme))
- [Incremental Processing](https://awesome-repositories.com/f/artificial-intelligence-ml/speech-transcription/incremental-processing.md) — Generates translation output in real-time by processing audio input in small incremental chunks.
- [Speech-to-Speech Models](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/speech-to-speech-models.md) — Converts spoken audio from one language directly into spoken audio of another language without intermediate text. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/README.md))
- [Speech-to-Speech Frameworks](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/speech-to-speech-models/speech-to-speech-frameworks.md) — Ships a framework for converting spoken audio between languages while preserving original tone and prosody.
- [Cross-Hardware Model Inference](https://awesome-repositories.com/f/artificial-intelligence-ml/cross-hardware-model-inference.md) — Provides a lightweight C-based library to execute models across diverse hardware configurations including CPU and GPU. ([source](https://github.com/facebookresearch/seamless_communication/tree/main/ggml))
- [Cross-Lingual Alignment](https://awesome-repositories.com/f/artificial-intelligence-ml/cross-lingual-alignment.md) — Provides a utility to encode text and speech into a shared language-agnostic space for alignment.
- [Expressive Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/expressive-synthesis.md) — Generates synthetic speech that maintains emotional nuance and vocal style by disentangling semantic content. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/expressive/README.md))
- [C-Based Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-inference-serving/inference-engines/c-inference-backends/c-based-engines.md) — Implements a C-based inference engine to enable low-latency model execution on mobile and edge hardware without Python.
- [On-Device Inference Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/on-device-inference-engines.md) — Ships runtimes optimized for local, low-latency execution of translation and transcription tasks on edge hardware. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/README.md))
- [Model Conversion Toolkits](https://awesome-repositories.com/f/artificial-intelligence-ml/on-device-inference-engines/model-conversion-toolkits.md) — Provides tools to convert model checkpoints into C-based libraries for mobile and edge hardware deployment.
- [Resource-Efficient Model Inference](https://awesome-repositories.com/f/artificial-intelligence-ml/resource-efficient-model-inference.md) — Implements a C-based tensor library to optimize inference for resource-constrained and limited hardware. ([source](https://github.com/facebookresearch/seamless_communication#readme))
- [Speech Toxicity Detection](https://awesome-repositories.com/f/artificial-intelligence-ml/speech-toxicity-detection.md) — Identifies and counts toxic words by transcribing audio segments and analyzing the resulting text. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/src/seamless_communication/cli/toxicity/etox))
- [Prosody Controls](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/prosody-controls.md) — Preserves the original speaker's tone, pace, and pauses during the translation process. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/README.md))
- [Speech-to-Unit Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/speech-to-speech-models/speech-to-speech-frameworks/speech-to-unit-translation.md) — Converts speech into discrete units while preserving phrase-level prosody and emotional tone. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/expressive/README.md))
- [Text Toxicity Detection](https://awesome-repositories.com/f/artificial-intelligence-ml/text-toxicity-detection.md) — Identifies toxic content across multiple languages using a wordlist-based detection mechanism. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/src/seamless_communication/cli/toxicity/etox))
- [Text Translation Tools](https://awesome-repositories.com/f/artificial-intelligence-ml/text-translation-tools.md) — Converts written text from one language to another using standardized language codes. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/README.md))
- [Zero-Shot Classification Models](https://awesome-repositories.com/f/artificial-intelligence-ml/zero-shot-classification-models.md) — Identifies toxic content in speech by analyzing audio embeddings without requiring language-specific training data.

### Graphics & Multimedia

- [Acoustic Feature Quantization](https://awesome-repositories.com/f/graphics-multimedia/audio-music/audio-playback/audio-conversion-utilities/acoustic-feature-quantization.md) — Transforms raw audio into discrete units by mapping extracted features to K-Means centroids. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/src/seamless_communication/cli/m4t/audio_to_units))
- [Text-to-Speech Translation](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/audio-processing-systems/audio-processing/text-to-speech-engines/text-to-speech-engines/text-to-speech-translation.md) — Converts written text from one language into spoken audio of another language. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/README.md))

### Networking & Communication

- [Real-time Translation](https://awesome-repositories.com/f/networking-communication/real-time-translation.md) — Converts spoken input into text or audio in real-time as sound is received for immediate communication. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/README.md))

### Scientific & Mathematical Computing

- [Acoustic Unit Quantization](https://awesome-repositories.com/f/scientific-mathematical-computing/data-discretization/temporal-discretization/acoustic-unit-quantization.md) — Transforms continuous audio waveforms into sequences of discrete units for efficient model processing.

### DevOps & Infrastructure

- [Model Conversion](https://awesome-repositories.com/f/devops-infrastructure/model-conversion.md) — Transforms machine learning models from one format into another to enable compatibility with C-based inference engines. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/ggml))

### Mobile Development

- [Mobile Model Deployment](https://awesome-repositories.com/f/mobile-development/mobile-model-deployment.md) — Enables the deployment of translated models onto mobile hardware without requiring a Python runtime. ([source](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/on_device_README.md))