wer_are_we VS NeMo

Compare wer_are_we vs NeMo and see what are their differences.

wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition. (by syhw)

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) (by NVIDIA)
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wer_are_we NeMo
4 29
1,862 10,179
- 3.6%
1.8 9.8
almost 2 years ago 5 days ago
Python
- Apache License 2.0
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.

wer_are_we

Posts with mentions or reviews of wer_are_we. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-21.

NeMo

Posts with mentions or reviews of NeMo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-06.

What are some alternatives?

When comparing wer_are_we and NeMo you can also consider the following projects:

plaidml - PlaidML is a framework for making deep learning work everywhere.

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

openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.

DeepSpeech - DeepSpeech 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.

DeepSpeech-examples - Examples of how to use or integrate DeepSpeech

whisper - Robust Speech Recognition via Large-Scale Weak Supervision

py-webrtcvad - Python interface to the WebRTC Voice Activity Detector

espnet - End-to-End Speech Processing Toolkit

trashbot - Trashbot helper AI assistant

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

stable-diffusion - A latent text-to-image diffusion model

TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production