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--- |
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title: Ringg Parrot STT V1 |
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emoji: 🦜 |
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colorFrom: blue |
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colorTo: purple |
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sdk: gradio |
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sdk_version: 5.49.1 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: High-Accuracy Hindi Speech-to-Text System |
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--- |
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tags: |
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- speech-to-text |
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- asr |
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- bilingual |
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- english |
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- hindi |
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- audio |
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- transcription |
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- ringg |
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- real-time |
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--- |
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# 🎙️ Ringg Parrot STT V1 :parrot: |
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**Bilingual Speech-to-Text for English & Hindi** |
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[](https://huggingface.co/spaces/RinggAI/Ringg-STT-V0) |
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[](https://opensource.org/licenses/Apache-2.0) |
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## 🌟 Overview |
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Ringg Parrot STT V1 is a state-of-the-art speech-to-text system that provides real-time transcription for English and Hindi languages. Our model ranks **1st place** among top bilingual ASR models, outperforming OpenAI Whisper Large-v3 and other leading solutions. |
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## 📊 Performance Benchmarks |
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| Model | Indic Norm WER ↓ | Whisper Norm WER ↓ | |
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|-------|------------------|---------------------| |
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| IndicWav2Vec (Winner) | 18.55% | 63.31% | |
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| **Ringg Parrot STT V1** | **21.03%** | **66.27%** | |
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| VakyanSh Wav2Vec2 | 24.06% | 66.34% | |
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| Whisper Large-v3 | 29.17% | 63.31% | |
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| Whisper Large-v2 | 37.50% | 66.27% | |
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**Lower WER (Word Error Rate) indicates better accuracy.** Ringg Parrot STT V1 achieves competitive performance while supporting bilingual transcription. |
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## ✨ Features |
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- 🌐 **Bilingual Support**: Native support for English and Hindi speech recognition |
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- ⚡ **Real-time Streaming**: Instant transcription as you speak |
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- 🎯 **High Accuracy**: 2nd place among top bilingual ASR models |
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- 📁 **File Upload**: Support for various audio formats (WAV, MP3, FLAC, M4A, etc.) |
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- 🚀 **Fast Processing**: Optimized for low-latency inference |
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- 💬 **Code-switching**: Handles mixed English-Hindi speech |
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## 🎯 Model Details |
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| Specification | Details | |
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|--------------|---------| |
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| **Model Name** | Ringg Parrot STT V1 | |
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| **Languages** | English (EN) & Hindi (HI) | |
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| **Performance** | 2nd place among top models | |
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| **Sample Rate** | 16kHz | |
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## 🚀 Usage |
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### Real-time Streaming |
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1. Go to the **"Real-time Streaming"** tab |
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2. Allow microphone permissions when prompted |
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3. Start speaking in English or Hindi |
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4. See real-time transcription appear |
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### File Upload |
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1. Go to the **"File Upload"** tab |
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2. Upload your audio file (WAV, MP3, FLAC, M4A, etc.) |
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3. Click **"Transcribe"** |
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4. View the transcription result |
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## 💡 Tips for Best Results |
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- **Audio Quality**: Use clear audio with minimal background noise |
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- **Speaking Style**: Speak naturally at a moderate pace |
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- **File Format**: 16kHz or higher sample rate recommended |
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- **Code-switching**: Model handles English-Hindi mixing, but accuracy is best when minimizing switches within sentences |
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## 📊 Use Cases |
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- 🤖 Voice assistants and chatbots |
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- 📝 Meeting transcription |
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- 🎬 Content creation and subtitling |
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- ♿ Accessibility applications |
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- 🔍 Voice search and commands |
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- 📞 Call center automation |
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- 🎓 Educational tools |
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- 🌍 Multilingual communication |
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## 🔧 Technical Details |
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### Audio Processing |
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- **Input Format**: Mono audio, automatically resampled to 16kHz |
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- **Processing**: Chunked streaming with 3-second buffers |
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- **Latency**: ~2-3 seconds for real-time streaming |
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- **GPU Acceleration**: CUDA-enabled for faster inference |
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### Supported Audio Formats |
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- WAV (PCM, 16-bit, 24-bit, 32-bit) |
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- MP3 |
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- FLAC |
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- M4A |
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- OGG |
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- OPUS |
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## 📝 Limitations |
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- Works best with clear audio and minimal background noise |
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- Accuracy may vary with strong accents and dialects |
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- Code-switching within sentences may occasionally affect accuracy |
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- Very long audio files may take longer to process |
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## 📈 Performance |
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- **WER (Word Error Rate)**: Optimized for conversational speech |
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- **RTF (Real-Time Factor)**: < 0.3 on GPU (faster than real-time) |
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- **Languages**: English & Hindi with native support |
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## 🔗 Links |
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- **Organization**: [RinggAI on Hugging Face](https://huggingface.co/RinggAI) |
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- **TTS Space**: [Ringg TTS V0](https://huggingface.co/spaces/RinggAI/Ringg-TTS-v0.0) |
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## 👥 Team |
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Made with ❤️ by the **RinggAI Team** |
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--- |
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**Note**: This model is designed for research and development purposes. For production use, please ensure compliance with your local regulations regarding speech processing and data privacy. |
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| Dependency | Version | |
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|------------|---------| |
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| gradio | 5.49.1 | |
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| gradio-client | 1.13.3 | |
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| pandas | 2.3.3 | |
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| requests | 2.32.5 | |
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