speechbrain
ckip-transformers
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speechbrain | ckip-transformers | |
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26 | 1 | |
7,694 | 619 | |
6.6% | 4.4% | |
9.8 | 3.3 | |
5 days ago | 11 months ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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speechbrain
- FLaNK Stack Weekly 22 January 2024
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Whisper.cpp
https://github.com/ggerganov/whisper.cpp https://speechbrain.github.io/
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[D] What is the best open source text to speech model?
I don't know if it's the best, but Speechbrain is supposed to be state of the art.
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[D] What's stopping you from working on speech and voice?
- https://github.com/speechbrain/speechbrain
- How to get high-quality, low-cost Speech-to-Text transcription?
- [D] Speech Enhancement SOTA
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speechbrain VS espnet - a user suggested alternative
2 projects | 13 Oct 2021
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[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models
We have a bunch of recipes with examples of using SpecAugment / speed perturbation / room impulse response corruption (see e.g. https://github.com/speechbrain/speechbrain/blob/develop/recipes/LibriSpeech/ASR/seq2seq/train.py )
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
ckip-transformers
We haven't tracked posts mentioning ckip-transformers yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
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
Resemblyzer - A python package to analyze and compare voices with deep learning
ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
speech-to-text-benchmark - speech to text benchmark framework
NeMo - NeMo: a framework for generative AI
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
imgaug - Image augmentation for machine learning experiments.
denoiser - Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
AugLy - A data augmentations library for audio, image, text, and video.