{"data":{"slug":"speechbrain-speechbrain","name":"speechbrain","tagline":"A PyTorch-based Speech Toolkit","github_url":"https://github.com/speechbrain/speechbrain","owner":"speechbrain","repo":"speechbrain","owner_avatar_url":"https://avatars.githubusercontent.com/u/54749030?v=4","primary_language":"Python","stars":11678,"forks":1706,"topics":["asr","audio","audio-processing","deep-learning","huggingface","language-model","pytorch","speaker-diarization","speaker-recognition","speaker-verification","speech-enhancement","speech-processing","speech-recognition","speech-separation","speech-to-text","speech-toolkit","speechrecognition","spoken-language-understanding","transformers","voice-recognition"],"archived":false,"github_pushed_at":"2026-06-15T11:24:25+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/speechbrain-speechbrain","markdown_url":"https://www.graphcanon.com/tools/speechbrain-speechbrain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/speechbrain-speechbrain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=speechbrain-speechbrain","description":"A PyTorch-based Speech Toolkit","homepage_url":"http://speechbrain.github.io","license":"Apache-2.0","open_issues":183,"watchers":138,"ai_summary":null,"readme_excerpt":"#\n# 🚀 Quick Start\n\nTo get started with SpeechBrain, follow these simple steps:\n\n---\n\n### Install via PyPI\n\n1. Install SpeechBrain using PyPI:\n\n    ```bash\n    pip install speechbrain\n    ```\n\n2. Access SpeechBrain in your Python code:\n\n    ```python\n    import speechbrain as sb\n    ```\n\n---\n\n### Install from GitHub\nThis installation is recommended for users who wish to conduct experiments and customize the toolkit according to their needs.\n\n1. Clone the GitHub repository and install the requirements:\n\n    ```bash\n    git clone https://github.com/speechbrain/speechbrain.git\n    cd speechbrain\n    pip install -r requirements.txt\n    pip install --editable .\n    ```\n\n2. Access SpeechBrain in your Python code:\n\n    ```python\n    import speechbrain as sb\n    ```\n\nAny modifications made to the `speechbrain` package will be automatically reflected, thanks to the `--editable` flag.\n\n---\n\n## ✔️ Test Installation\n\nEnsure your installation is correct by running the following commands:\n\n```bash\npytest tests\npytest --doctest-modules speechbrain\n```\n\n---\n\n#\n# 📜 License\n\n- SpeechBrain is released under the [Apache License, version 2.0](https://www.apache.org/licenses/LICENSE-2.0), a popular BSD-like license.\n- You are free to redistribute SpeechBrain for both free and commercial purposes, with the condition of retaining license headers. Unlike the GPL, the Apache License is not viral, meaning you are not obligated to release modifications to the source code.\n\n---\n\n#\n# 🔮Future Plans\n\nWe have ambitious plans for the future, with a focus on the following priorities:\n\n- **Scale Up:** We aim to provide comprehensive recipes and technologies for training massive models on extensive datasets.\n\n- **Scale Down:** While scaling up delivers unprecedented performance, we recognize the challenges of deploying large models in production scenarios. We are focusing on real-time, streamable, and small-footprint Conversational AI.\n\n- **Multimodal Large Language Models**: We envision a future where a single foundation model can handle a wide range of text, speech, and audio tasks. Our core team is focused on enabling the training of advanced multimodal LLMs.","github_created_at":"2020-04-28T17:48:45+00:00","created_at":"2026-07-11T12:14:25.355595+00:00","updated_at":"2026-07-11T12:14:47.578278+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"asr","name":"asr"},{"slug":"audio","name":"audio"},{"slug":"audio-processing","name":"audio-processing"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"huggingface","name":"huggingface"},{"slug":"language-model","name":"language-model"},{"slug":"pytorch","name":"pytorch"},{"slug":"speaker-diarization","name":"speaker-diarization"}],"trust":{"provenance":{"is_fork":false,"github_id":259710503,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T12:14:26.006Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":0,"days_since_push":26,"last_release_at":"2026-03-30T14:41:48Z"},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":93,"high_count":0,"last_scan_at":"2026-07-11T12:14:27.001Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T12:14:26.610Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-11T12:14:26.610Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-11T12:14:26.610Z"}}}}