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LibreASR

LibreASR

#24in Voice & Audio Models
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Followers3
OverviewDiscussions

What is LibreASR?

It is an On-Premises, Streaming Speech Recognition System built with PyTorch and fastai.

LibreASR is a tool in the Voice & Audio Models category of a tech stack.

Key Features

RNN-T networkFused language modelsDynamic Bucketing DataLoaderDynamic QuantizationTuned language model fusion

LibreASR Pros & Cons

Pros of LibreASR

No pros listed yet.

Cons of LibreASR

No cons listed yet.

LibreASR Alternatives & Comparisons

What are some alternatives to LibreASR?

Kaldi

Kaldi

It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.

Deepspeech

Deepspeech

It is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Botium Speech Processing

Botium Speech Processing

It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.

Speechly

Speechly

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

wav2letter++

wav2letter++

wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research. It is written entirely in C++ and uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency. Our approach is detailed in this arXiv paper.

SpeechPy

SpeechPy

The purpose of this project is to provide a package for speech processing and feature extraction. This library provides most frequent used speech features including MFCCs and filterbank energies alongside with the log-energy of filterbanks.

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