Search Results for "objects"

Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec. Mimi processes 24 kHz audio, down to a 12.5 Hz representation with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codecs like SpeechTokenizer (50 Hz, 4kbps), or SemantiCodec (50 Hz, 1.3kbps). Moshi models two streams of audio: one corresponds to Moshi, and...

The project contains a small command line tool (written in Python) that analyses the file structure (ID3 and frame headers) of MP3 files and projects the structure into a JSON object.

...This library provides a range of useful operations for sound files and audio fragments. It processes audio at the frame level, working with signed integer samples of 8, 16, or 32 bits, stored in byte-like objects. Key features include: - Reading and writing WAV files using Python's standard library. - A scientifically validated method for automatically detecting sound segments in speech. - Manipulation of raw audio data. - Audio mixing capabilities. - Automated computation of statistical descriptors for audio data. - Channel extraction...

...You can open and save WAV files with pure python. For opening and saving non-wav files, like mp3, you'll need ffmpeg or libav. Any operations that combine multiple AudioSegment objects in any way will first ensure that they have the same number of channels, frame rate, sample rate, bit depth, etc.

A Python library to create score files for CSound. It differs from other libraries that generate CSound scores, since a score is represented by a list that can contain different types of objects. It creates patterns in a flexible and compact way.