OpenAI is ramping up work on its audio AI as it prepares for an upcoming personal device that will rely primarily on voice, ...

Abstract: We introduce pyannote.audio, an open-source toolkit written in Python for speaker diarization. Based on PyTorch machine learning framework, it provides a set of trainable end-to-end neural ...

Burmese pythons are an invasive species wreaking havoc on the South Florida ecosystem. Social media videos showcasing pythons are common, including those of hunters and the "Python Huntress." Pythons ...

Audiogenipy is a simple Python script to convert text files into audiobooks effortlessly. Under the hood, Audiogenipy uses the Google Text-to-Speech (gTTS) library, which leverages Google’s advanced ...

The advent of artificial intelligence has catalyzed numerous sophisticated applications, and Podcastfy AI stands out as an advanced solution within the domain of audio content generation. Developed as ...

Abstract: LIBROSA is a powerful Python audio data processing library introduced in recent years. Based on LIBROSA provided source codes, two types of feature data extraction algorithms are analyzed in ...

Learn to use Claude 3 models with audio data in Python, leveraging AssemblyAI's LeMUR framework for seamless integration. Claude 3.5 Sonnet, recently announced by Anthropic, sets new industry ...

Seems like my separation pipeline is running in CPU mode on colab, even after reinstalling torch -- a 3 minute track takes 5 minutes to separate using Kim Vocal 2.

Audio tagging is the process of inferring descriptive labels from audio clips (Multi label classification task). This repository contains exploratory code/scripts for audio preprocessing and model ...