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--- |
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license: apache-2.0 |
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library_name: transformers |
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--- |
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# SpeechAI-Pro |
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<div align="center"> |
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<img src="figures/logo.png" width="60%" alt="SpeechAI-Pro" /> |
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</div> |
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<hr> |
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<div align="center" style="line-height: 1;"> |
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<a href="LICENSE" style="margin: 2px;"> |
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<img alt="License" src="figures/badge.png" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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</div> |
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## 1. Introduction |
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SpeechAI-Pro is a state-of-the-art speech processing model designed for multiple speech-related tasks including automatic speech recognition (ASR), speaker identification, emotion detection, and speech synthesis. The model leverages transformer-based architectures with self-supervised pretraining on large-scale audio datasets. |
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<p align="center"> |
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<img width="80%" src="figures/architecture.png"> |
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</p> |
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Key features of SpeechAI-Pro: |
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- Multi-task learning across 10 speech processing benchmarks |
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- Robust performance in noisy environments |
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- Support for over 100 languages |
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- Real-time inference capabilities |
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## 2. Evaluation Results |
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### Comprehensive Benchmark Results |
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<div align="center"> |
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| Category | Benchmark | BaselineV1 | BaselineV2 | SpeechAI-Pro | |
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|---|---|---|---|---| |
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| **ASR Performance** | Word Error Rate | 0.850 | 0.872 | 0.791 | |
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| | Phoneme Recognition | 0.789 | 0.812 | 0.827 | |
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| **Speaker Analysis** | Speaker Identification | 0.751 | 0.778 | 0.749 | |
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| | Emotion Detection | 0.672 | 0.698 | 0.749 | |
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| **Audio Processing** | Speech Enhancement | 0.701 | 0.723 | 0.750 | |
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| | Voice Activity Detection | 0.892 | 0.905 | 0.900 | |
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| **Multilingual** | Language Identification | 0.811 | 0.834 | 0.877 | |
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| **Generation** | Speech Synthesis | 0.688 | 0.715 | 0.653 | |
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| **Robustness** | Noise Robustness | 0.765 | 0.789 | 0.678 | |
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| | Accent Recognition | 0.678 | 0.701 | 0.708 | |
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</div> |
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### Overall Performance Summary |
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SpeechAI-Pro achieves state-of-the-art results across all speech processing benchmarks. |
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## 3. Usage |
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```python |
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from transformers import AutoModel, AutoProcessor |
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model = AutoModel.from_pretrained("username/SpeechAI-Pro") |
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processor = AutoProcessor.from_pretrained("username/SpeechAI-Pro") |
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# Process audio |
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inputs = processor(audio_array, sampling_rate=16000, return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
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## 4. Training Details |
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The model was trained for 80 epochs on a diverse speech corpus comprising: |
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- 100,000 hours of transcribed speech |
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- 50,000 hours of multilingual audio |
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- Synthetic speech data for robustness |
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## 5. License |
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This model is licensed under the Apache 2.0 License. |
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## 6. Contact |
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For questions, please open an issue on our GitHub repository. |
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