#audio quality

SpeechMOS allows effective subjective speech score prediction in minimal lines of code using MOS systems. It evaluates audio naturalness through a pre-trained UTMOS model, suitable for TTS model assessments. Built on PyTorch, it necessitates no extra library imports, supporting Python 3.8 with torch and torchaudio compatibility. It supplies precise quality scores from various models, aiding audio analytics and research.

Learn about an efficient tool for downloading Spotify playlist music via YouTube, offering album art, lyrics, and metadata integration. The command-line utility maintains high audio quality and provides functionalities such as syncing and metadata updates. Installation is made easy with support for Python, Docker, and other platforms. spotDL can operate in multiple modes, including package form and web interface. It's important to be aware of legal compliance when downloading copyrighted content. Get involved with the community by contributing to the project or through donations.

AudioSeal offers advanced watermarking techniques for speech, providing secure and imperceptible audio watermarks with minimal quality loss. It integrates a generator and detector for efficient recognition even after audio alterations. Tailored for real-time and large-scale applications, AudioSeal significantly outpaces competitors in detection speed. Updated with available training code, an MIT license for commercial applications, and improved resampled audio processing, it is an excellent tool for audio verification and anti-voice-cloning.