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manasseh

manassehzw
yuriyvnv's profile picture
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https://manasseh.dev

AI & ML interests

Voice Models, TTS, Conversational AI, GPT

Recent Activity

repliedto yuriyvnv's post 4 days ago
🎙️Parakeet-TDT Fine Tuning: 4 New ASR Models Four fine-tuned versions of NVIDIA's Parakeet-TDT-0.6B-v3 for Dutch, Portuguese, Estonian, and Slovenian — among the first community fine-tunes of this architecture for the aforementioned languages 📊 Results on Common Voice 17 test sets: 🇸🇮 Slovenian: 50.49% → 11.56% WER (-77%) 🇵🇹 Portuguese: 15.86% → 10.71% WER (-32%) 🇪🇪 Estonian: 27.15% → 21.03% WER (-23%) 🇳🇱 Dutch: 5.99% → 5.33% WER (-11%) All models output cased text with punctuation. ``` import nemo.collections.asr as nemo_asr model = nemo_asr.models.ASRModel.from_pretrained( "yuriyvnv/parakeet-tdt-0.6b-dutch" ) output = model.transcribe(["audio.wav"]) print(output[0].text) ``` 🔗 Models: 🇳🇱 yuriyvnv/parakeet-tdt-0.6b-dutch 🇵🇹 yuriyvnv/parakeet-tdt-0.6b-portuguese 🇪🇪 yuriyvnv/parakeet-tdt-0.6b-estonian 🇸🇮 yuriyvnv/parakeet-tdt-0.6b-slovenian 🏗️ Training: Common Voice 17 + synthetic speech (OpenAI TTS), filtered with WAVe (yuriyvnv/WAVe-1B-Multimodal-PT) for quality. AdamW + cosine annealing, bf16-mixed precision, early stopping on val WER. Timestamps and long-form audio supported. @hf-audio @NVIDIADev #asr #speech #parakeet #nvidia #nemo #multilingual #fine-tuning #commonvoice
reacted to yuriyvnv's post with 🚀 4 days ago
🎙️Parakeet-TDT Fine Tuning: 4 New ASR Models Four fine-tuned versions of NVIDIA's Parakeet-TDT-0.6B-v3 for Dutch, Portuguese, Estonian, and Slovenian — among the first community fine-tunes of this architecture for the aforementioned languages 📊 Results on Common Voice 17 test sets: 🇸🇮 Slovenian: 50.49% → 11.56% WER (-77%) 🇵🇹 Portuguese: 15.86% → 10.71% WER (-32%) 🇪🇪 Estonian: 27.15% → 21.03% WER (-23%) 🇳🇱 Dutch: 5.99% → 5.33% WER (-11%) All models output cased text with punctuation. ``` import nemo.collections.asr as nemo_asr model = nemo_asr.models.ASRModel.from_pretrained( "yuriyvnv/parakeet-tdt-0.6b-dutch" ) output = model.transcribe(["audio.wav"]) print(output[0].text) ``` 🔗 Models: 🇳🇱 yuriyvnv/parakeet-tdt-0.6b-dutch 🇵🇹 yuriyvnv/parakeet-tdt-0.6b-portuguese 🇪🇪 yuriyvnv/parakeet-tdt-0.6b-estonian 🇸🇮 yuriyvnv/parakeet-tdt-0.6b-slovenian 🏗️ Training: Common Voice 17 + synthetic speech (OpenAI TTS), filtered with WAVe (yuriyvnv/WAVe-1B-Multimodal-PT) for quality. AdamW + cosine annealing, bf16-mixed precision, early stopping on val WER. Timestamps and long-form audio supported. @hf-audio @NVIDIADev #asr #speech #parakeet #nvidia #nemo #multilingual #fine-tuning #commonvoice
repliedto yuriyvnv's post 4 days ago
🎙️Parakeet-TDT Fine Tuning: 4 New ASR Models Four fine-tuned versions of NVIDIA's Parakeet-TDT-0.6B-v3 for Dutch, Portuguese, Estonian, and Slovenian — among the first community fine-tunes of this architecture for the aforementioned languages 📊 Results on Common Voice 17 test sets: 🇸🇮 Slovenian: 50.49% → 11.56% WER (-77%) 🇵🇹 Portuguese: 15.86% → 10.71% WER (-32%) 🇪🇪 Estonian: 27.15% → 21.03% WER (-23%) 🇳🇱 Dutch: 5.99% → 5.33% WER (-11%) All models output cased text with punctuation. ``` import nemo.collections.asr as nemo_asr model = nemo_asr.models.ASRModel.from_pretrained( "yuriyvnv/parakeet-tdt-0.6b-dutch" ) output = model.transcribe(["audio.wav"]) print(output[0].text) ``` 🔗 Models: 🇳🇱 yuriyvnv/parakeet-tdt-0.6b-dutch 🇵🇹 yuriyvnv/parakeet-tdt-0.6b-portuguese 🇪🇪 yuriyvnv/parakeet-tdt-0.6b-estonian 🇸🇮 yuriyvnv/parakeet-tdt-0.6b-slovenian 🏗️ Training: Common Voice 17 + synthetic speech (OpenAI TTS), filtered with WAVe (yuriyvnv/WAVe-1B-Multimodal-PT) for quality. AdamW + cosine annealing, bf16-mixed precision, early stopping on val WER. Timestamps and long-form audio supported. @hf-audio @NVIDIADev #asr #speech #parakeet #nvidia #nemo #multilingual #fine-tuning #commonvoice
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