ljspeech-jets-onnx
| Property | Value |
|---|---|
| License | Apache-2.0 |
| Language | English |
| Framework | ONNX |
| Dataset | LJSpeech |
What is ljspeech-jets-onnx?
ljspeech-jets-onnx is an ONNX-exported version of the ESPnet JETS Text-to-Speech model, specifically designed for English speech synthesis. This model represents a significant advancement in making high-quality TTS accessible through the ONNX runtime, enabling broader deployment options and improved performance.
Implementation Details
The model is implemented using the ESPnet framework and exported to ONNX format using the espnet_onnx library. It can be easily integrated using either the txtai pipeline or directly through ONNX runtime. The model utilizes the LJSpeech dataset for training and incorporates sophisticated text tokenization through the ttstokenizer library.
- Seamless integration with txtai's Text to Speech pipeline
- Direct ONNX runtime support with custom tokenization
- 22.05kHz sampling rate for high-quality audio output
- Efficient text-to-phoneme conversion with tacotron-style processing
Core Capabilities
- High-quality English speech synthesis
- Batch processing support for large inputs
- Flexible deployment options through ONNX format
- Easy-to-use API interface
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its ONNX optimization and integration with txtai, making it particularly suitable for production deployments. The JETS architecture provides a good balance between quality and inference speed.
Q: What are the recommended use cases?
The model is ideal for applications requiring English text-to-speech conversion, particularly in scenarios where ONNX runtime deployment is preferred. It's suitable for both batch processing and single-text conversion tasks.
