Whisper Hindi2Hinglish Apex: GITHUB LINK: github link SPEECH TO TEXT ARENA: Speech To Text Arena Table of Contents: Key Features Training Data Finetuning Usage Performance Overview Qualitative Performance Overview Quantitative Performance Overview Miscellaneous Key Features: 1. Hinglish as a language : Native ability to transcribe hindi into hinglish, making it easier to understand and process. 2. Faster Inference : The model achieves SOTA performance while being upto 8x faster. 3. Performance Increase : ~42% average performance increase versus pretrained model across benchmarking datasets. 4. Ranked 1 on Speech To Text Arena, beating competitors on transcription preference metric. Training: Data: Duration : A total of ~700 Hrs of noisy Indian accented Hindi audios. Collection : Curated using a collection of open source and proprietary dataset. Labelling : Automated labelling using SOTA model, with manual human correction. Finetuning: Novel Finetuning Techniques : Advanced fine tuning techniques were used to specifically target and increase performance on noisy Indian accented audios. Custom Dynamic Layer Freezing : Identifying most active layers during inference and perfomed targe…
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