✳flâneur — a map of the web's best reading
whisper/model-card.md at main · openai/whisper
github.com · 978 words · saved by 1 readers
Robust Speech Recognition via Large-Scale Weak Supervision - openai/whisper
Model Card: Whisper This is the official codebase for running the automatic speech recognition (ASR) models (Whisper models) trained and released by OpenAI. Following Model Cards for Model Reporting (Mitchell et al.) , we're providing some information about the automatic speech recognition model. More information on how these models were trained and evaluated can be found in the paper . Model Details The Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (ASR) as well as translated into Englis
Explore this link on the map →related reading
- GitHub - openai/whisper: Robust Speech Recognition via Large-Scale Weak Supervision · GitHubgithub.com
- Introducing talkie: a 13B vintage language model from 1930talkie-lm.com
- Silent speech with ultrasound — Alephalephneuro.com
- AI Model & API Providers Analysis | Artificial Analysisartificialanalysis.ai
- Advancing voice intelligence with new models in the API | OpenAIopenai.com
- Replicate - Run AI with an APIreplicate.com
- On-premise Speech Recognitionlingvanex.com
- GitHub - openai/parameter-golf: Train the smallest LM you can that fits in 16MB. Best model wins! · GitHubgithub.com
- GitHub - salesforce/AuditNLG: AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness · GitHubgithub.com
- API Overview | OpenAI API Referenceplatform.openai.com
- 2506.17298arxiv.org
- gpt-2/model_card.md at master · openai/gpt-2 · GitHubgithub.com