speechbrain VS SincNet

Compare speechbrain vs SincNet and see what are their differences.

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speechbrain SincNet
26 3
7,869 1,097
6.8% -
9.8 0.0
about 21 hours ago almost 3 years ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

speechbrain

Posts with mentions or reviews of speechbrain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-22.

SincNet

Posts with mentions or reviews of SincNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-25.

What are some alternatives?

When comparing speechbrain and SincNet you can also consider the following projects:

espnet - End-to-End Speech Processing Toolkit

pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Resemblyzer - A python package to analyze and compare voices with deep learning

Image-Forgery-Detection-CNN - Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.

ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language

ruptures - ruptures: change point detection in Python

speech-to-text-benchmark - speech to text benchmark framework

UHV-OTS-Speech - A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

stereo-image-generation - This repository contains code to generate stereo (Side by side) image from a single image.