Lauren Lankford PRO

LaurenL

psdn-ai

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reacted to ksrupaakula's post with ❤️ 4 days ago

Evaluating ASR beyond short clips: our Numo Indic Speech releases provide longer-form transcribed audio across four languages: Hindi: 46.6s average duration Telugu: 33.3s Tamil: 32.7s Bengali: 46.5s For comparison, Common Voice 26.0 averages roughly 4–6 seconds across these languages. These longer recordings support research into segmentation, context retention, streaming, and endpointing behavior. The four datasets are available under controlled access. Check them out: https://huggingface.co/datasets/psdn-ai/numo-indic-speech

reacted to RN0311's post with 🔥 about 2 months ago

SONAR is now open-source! 🔊 SONAR is an evaluation toolkit for multilingual ASR that goes beyond WER/CER. It combines semantic similarity, the Poseidon Score, and analysis across dialect, demographic, and metadata-based failure modes. 🌍 Our goal is to make it easier for everyone to understand why an ASR model fails, not just how often. 🔍 You can plug in your own models + audio, extend it to new languages and datasets, or contribute directly. 🛠️ MIT licensed. Would love feedback from the HF community! 🤗 🔗 GitHub: https://github.com/PSDN-AI/SONAR-OSS/ 🔗 Blog: https://www.psdn.ai/blog/open-source-multilingual-asr-evaluation

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