Pix2Seq VS speechbrain

Compare Pix2Seq vs speechbrain and see what are their differences.

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Pix2Seq speechbrain
1 26
109 7,892
- 7.4%
0.0 9.8
8 months ago 4 days ago
Python Python
MIT License 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.

Pix2Seq

Posts with mentions or reviews of Pix2Seq. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing Pix2Seq and speechbrain you can also consider the following projects:

manga-image-translator - Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/

espnet - End-to-End Speech Processing Toolkit

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

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

RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

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.

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)

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

Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.