xzf-thu/Mega-ASR [Python] — ⭐ 166
A new open-source ASR (Automatic Speech Recognition) model called Mega-ASR has been developed. This model is built for real-world applications and is based on 7 atomic acoustic conditions and 54 compound scenarios, utilizing 2.6 million samples. The model claims to achieve up to 30% gains over the current state-of-the-art (SOTA) models. The project is hosted on GitHub and has received 166 stars.
The development of Mega-ASR is significant for the tech industry as it aims to improve the accuracy and efficiency of speech recognition models, which have numerous applications in areas such as voice assistants, transcription services, and more.
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First foundation ASR built for the real world - 7 atomic acoustic conditions, 54 compound scenarios, 2.6M samples, and up to ~30% gains over SOTA where every other model falls apart. **You'll come bac
- ▸01Mega-ASR is an open-source ASR model built for real-world applications.
- ▸02The model is based on 7 atomic acoustic conditions and 54 compound scenarios.
- ▸03It utilizes 2.6 million samples and claims to achieve up to 30% gains over SOTA models.
- ▸04The project is hosted on GitHub and has received 166 stars.
xzf-thu/Mega-ASR [Python] — ⭐ 166. First foundation ASR built for the real world - 7 atomic acoustic conditions, 54 compound scenarios, 2.6M samples, and up to ~30% gains over SOTA where every other model falls apart.
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