Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

Discover how to transcribe audio files using Python with AssemblyAI's Universal-1, a model offering near-human accuracy and multiple pricing tiers for diverse needs.

Various features generated from raw audio signals can be used as an input of a deep learning model. They include hand-crafted features such as mel-frequency cepstral coefficients, two-dimensional time ...

Learn to use Claude 3 models with audio data in Python, leveraging AssemblyAI's LeMUR framework for seamless integration.

Niharika Singh - March 24, 2023 AudioFlux is a Python library that provides deep learning tools for audio and music analysis and feature extraction. It supports various time-frequency analysis ...

The meat of this project, and what really helps drive home the concept of putting multiple audio signals onto an FM signal, lies in the Python code that generates the component parts.

Hands-On Tutorial on Visualizing Spectrograms in Python For visualising signals into an image, we use a spectrogram that plots the time in the x-axis and frequency in the y-axis and, for more detailed ...