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Model Benchmarking
TTSDS Benchmark and Leaderboard

TTSDS Benchmark and Leaderboard

Text-To-Speech (TTS) Evaluation using objective metrics.

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What is TTSDS Benchmark and Leaderboard ?

The TTSDS Benchmark and Leaderboard is a comprehensive tool designed to evaluate and compare Text-To-Speech (TTS) models using objective metrics. It provides a platform to assess the quality of TTS systems by measuring how closely synthesized speech matches human speech. The leaderboard serves as a central hub to track the performance of various models, enabling easy comparison and fostering advancements in TTS technology.

Features

  • Objective Metrics: Evaluates TTS models using widely recognized metrics such as Mel-Cepstral Distortion (MCD) and Short-Time Objective Intelligibility (STOI).
  • Model Comparison: Allows users to compare multiple TTS models side-by-side based on their performance metrics.
  • Automated Benchmarking: Simplifies the process of evaluating TTS models by automating the computation of evaluation metrics.
  • Dynamic Leaderboard: Maintains a real-time ranking of TTS models, reflecting the latest advancements in the field.
  • Custom Model Support: Enables users to benchmark their own TTS models against existing ones.
  • Detailed Reports: Provides in-depth analysis and visualization of evaluation results.
  • Open-Source Integration: Seamlessly integrates with popular open-source TTS frameworks and libraries.

How to use TTSDS Benchmark and Leaderboard ?

  1. Install Required Libraries: Ensure you have the necessary dependencies installed, including TTS libraries and evaluation tools.
  2. Clone the Repository: Download the TTSDS Benchmark and Leaderboard repository from GitHub.
  3. Prepare Your Dataset: Organize your reference audio files and corresponding text scripts.
  4. Run the Benchmark Script: Execute the benchmarking script to evaluate your TTS model using objective metrics.
  5. Generate Leaderboard: After evaluation, generate the leaderboard to compare your model's performance with others.
  6. Analyze Results: Review the detailed reports and visualizations to understand your model's strengths and weaknesses.

Frequently Asked Questions

What metrics does TTSDS Benchmark use?
TTSDS Benchmark primarily uses Mel-Cepstral Distortion (MCD) and Short-Time Objective Intelligibility (STOI) to evaluate TTS models. These metrics are widely accepted for assessing speech synthesis quality.

How do I add my custom TTS model to the leaderboard?
To add your custom model, follow these steps:

  1. Ensure your model is compatible with the benchmarking framework.
  2. Add your model's configuration to the benchmark script.
  3. Run the benchmarking process to compute the evaluation metrics.
  4. Submit your results to be included in the leaderboard.

How often is the leaderboard updated?
The leaderboard is dynamically updated whenever new models are benchmarked and submitted. However, users are responsible for running the benchmark script and submitting their results to reflect the latest performance of their models.

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