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OpenBMB/UltraEval-Audio

⭐ 326 Python added to this list on 2026-07-27 repository created 2024-11-11

UltraEval-Audio is the first open-source framework specifically designed for evaluating large audio models, encompassing both speech understanding and speech generation. It integrates 34 authoritative benchmarks covering speech, sound, medicine, and music across 10 languages and 12 task categories. Key features include direct replication of popular model evaluation results, one-click benchmark data management, and built-in evaluation tools that bind datasets with official metrics (e.g., WER, BLEU, G-Eval). The framework offers powerful and flexible evaluation processes with features like preview testing, random sampling, error retries, and resume-from-breakpoint. It supports seamless integration of custom datasets for various engineering scenarios and boasts excellent extensibility for integrating with existing evaluation pipelines. UltraEval-Audio stands out by providing isolated runtime environments for models, automatically managing dependencies and running inference via IPC to eliminate conflicts. It supports specialized audio models for TTS, ASR, and Audio Codec, and includes comprehensive replication documentation and commands for transparency and reproducibility.

https://github.com/OpenBMB/UltraEval-Audio

audioLLM evaluationASRTTSaudio codecspeech recognitionspeech generationbenchmarkingevaluation framework

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