OptiSpeech

Lightweight end-to-end text-to-speech model

CommonProductProductivityText to SpeechDeep Learning

OptiSpeech is an efficient, lightweight, and fast text-to-speech model specifically designed for device-side text-to-speech conversion. Leveraging advanced deep learning techniques, it converts text into naturally sounding speech, making it suitable for applications that require speech synthesis on mobile devices or embedded systems. The development of OptiSpeech was significantly accelerated by GPU resources provided by Pneuma Solutions.

Supports a command-line API for rapid speech synthesis.
Offers a Python API for easy integration into applications.
Allows adjustments of various speech synthesis parameters
including speed
pitch
and energy.
Supports ONNX format export for easy model deployment and usage across different platforms.
Provides a variety of model architecture options
including ConvNeXt
Transformer

OptiSpeech is primarily targeted at developers and researchers
especially those who need to implement text-to-speech (TTS) functionality on device endpoints. Its lightweight and efficient design makes it ideal for speech interaction in mobile applications
smart home devices
and in-vehicle systems.

Implement speech assistant features on smartphones.
Provide natural voice feedback for smart home devices.
Deliver voice outputs for navigation instructions in vehicular systems.

1. Prepare the dataset and format it according to requirements
then process it with the preprocess_dataset script.
2. Select a model architecture and specify it in the configuration file according to your needs.
3. Use Rye to synchronize the Python runtime and dependencies.
4. Invoke OptiSpeech for text-to-speech conversion through the command-line API or Python API.

Visit

OptiSpeech Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

OptiSpeech Visit Trend

OptiSpeech Visit Geography

OptiSpeech Traffic Sources

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