| language: | |
| - en | |
| license: apache-2.0 | |
| library_name: onnx | |
| tags: | |
| - tts | |
| - kokoro | |
| - npu | |
| - amd-ryzen-ai | |
| - quantized | |
| pipeline_tag: text-to-speech | |
| # 🎵 Kokoro NPU Quantized TTS Models | |
| 🎵 NPU-Optimized Text-to-Speech Models | |
| NPU-optimized text-to-speech models for AMD Ryzen AI hardware. | |
| ## Models Included | |
| - **kokoro-npu-quantized-int8.onnx** (121.9 MB) - INT8 quantized for NPU | |
| - **kokoro-npu-fp16.onnx** (169.8 MB) - FP16 for quality | |
| - **voices-v1.0.bin** (26.9 MB) - Voice embeddings | |
| ## Hardware Requirements | |
| - **NPU**: NPU Phoenix | |
| - **Memory**: 1GB+ available | |
| - **Framework**: Unicorn Execution Engine | |
| ## Quick Start | |
| ```python | |
| from unicorn_execution_engine import UnicornTTS | |
| # Initialize NPU-accelerated TTS | |
| tts = UnicornTTS(model="kokoro-npu-quantized") | |
| # Generate speech with NPU acceleration | |
| audio = tts.synthesize("Hello, this is NPU-accelerated speech!") | |
| ``` | |
| --- | |
| *🎵 NPU-Accelerated Text-to-Speech* | |
| *⚡ Powered by Unicorn Execution Engine* | |