Explore and analyze audio data with AudioBench Leaderboard
Converse with Claude Play.ai and WebRTC β‘οΈ
Generate audio from text in multiple languages
Moonshine ASR models running on-device, in your web browser.
GPT-SoVITS for MITA!
Realtime implementation of Whisper large turbo
High-fidelity Text-To-Speech
Generate speech from text
Voice Clone Multilingual TTS
Pyxilab's Pyx r1-voice demo
Generate speech from text
SText to Audio(Sound SFX) Generator
Generate audio from text input
Leaderboard / AudioBench is a benchmarking platform designed for exploring and analyzing audio data. It serves as a tool for evaluating and comparing various speech synthesis systems or audio processing models. Users can leverage it to assess performance metrics, identify strengths and weaknesses, and optimize their audio-related applications.
What audio formats does Leaderboard / AudioBench support?
Leaderboard / AudioBench supports a variety of audio formats, including WAV, MP3, and AAC, ensuring compatibility with most common audio data.
How do I interpret the benchmarking results?
Results are presented in a user-friendly format, with metrics like accuracy, quality scores, and visual representations to help you understand performance differences between models.
Is Leaderboard / AudioBench accessible to non-technical users?
Yes, the platform is designed to be intuitive and accessible. Even users without extensive technical expertise can navigate and utilize its features effectively.