Abstract: In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance ...

Abstract: Acoustic features play an important role in improving the quality of the synthesised speech. Currently, the Mel spectrogram is a widely employed acoustic feature in most acoustic models.

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

I've been digging into the audio preprocessing in transformers.js and noticed an issue: There are currently no unit tests for the audio_utils module in the JS implementation. The output of spectrogram ...

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...

Background: Auscultation is a critical diagnostic feature of lung diseases, but it is subjective and challenging to measure accurately. To overcome these limitations, artificial intelligence models ...

Add a description, image, and links to the spectrogram-images topic page so that developers can more easily learn about it.

We combined the Mel spectrogram with MFCCs to extract features from the audio data. Both the Mel spectrogram and MFCCs are widely recognized techniques for representing audio signals. Initially, we ...

Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field of signal ...