Text-To-Speech (TTS) Evaluation using objective metrics.
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The TTSDS Benchmark and Leaderboard is a comprehensive evaluation framework designed for Text-To-Speech (TTS) models. It provides a robust platform to assess and compare the performance of different TTS systems using objective metrics. The leaderboard serves as a centralized resource to track advancements in TTS technology and foster innovation in the field.
• Support for Multiple TTS Models: Evaluate and compare various TTS models in a unified framework. • Objective Metrics: Leverage established metrics such as Mean Opinion Score (MOS), Mel-Cepstral Distortion (MCD), and Word Error Rate (WER) to assess model performance. • Automated Benchmarking: Streamline the evaluation process with automated tools for efficient and consistent testing. • Customizable Datasets: Use predefined or custom datasets to tailor evaluations to specific use cases. • Comprehensive Reports: Generate detailed reports with insights into model strengths, weaknesses, and areas for improvement. • Leaderboard Updates: Regularly updated leaderboards to reflect the latest advancements in TTS technology.
What models are supported by TTSDS Benchmark and Leaderboard?
TTSDS Benchmark and Leaderboard supports a wide range of TTS models, including both open-source and commercial systems. Check the documentation for the full list of supported models.
Do I need to use only objective metrics for evaluation?
While TTSDS Benchmark and Leaderboard primarily focuses on objective metrics, you can also incorporate subjective evaluations for a more comprehensive assessment.
How do I access the TTSDS Leaderboard?
Access the TTSDS Leaderboard through the official website or platform. Registration may be required to submit your model for evaluation and view detailed results.