the speechbrain toolkit

We have hosted the application the speechbrain toolkit in order to run this application in our online workstations with Wine or directly.

Quick description about the speechbrain toolkit:

SpeechBrain is an open-source and all-in-one conversational AI toolkit. It is designed to be simple, extremely flexible, and user-friendly. Competitive or state-of-the-art performance is obtained in various domains. SpeechBrain supports state-of-the-art methods for end-to-end speech recognition, including models based on CTC, CTC+attention, transducers, transformers, and neural language models relying on recurrent neural networks and transformers. Speaker recognition is already deployed in a wide variety of realistic applications. SpeechBrain provides different models for speaker recognition, including X-vector, ECAPA-TDNN, PLDA, and contrastive learning. Spectral masking, spectral mapping, and time-domain enhancement are different methods already available within SpeechBrain. Separation methods such as Conv-TasNet, DualPath RNN, and SepFormer are implemented as well. SpeechBrain provides efficient and GPU-friendly speech augmentation pipelines and acoustic features extraction.

Features:

• SpeechBrain provides multiple pre-trained models that can easily be deployed with nicely designed interfaces
• SpeechBrain is designed to speed-up research and development of speech technologies
• SpeechBrain allows you to easily and quickly customize any part of your speech pipeline
• SpeechBrain allows users to install either via PyPI to rapidly use the standard library or via a local install to view recipes
• Every SpeechBrain recipe relies on a YAML file that summarizes all the functions and hyperparameters of the system
• SpeechBrain is designed for research and development

Programming Language: Python.
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