audible-activator
espnet
audible-activator | espnet | |
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10 | 15 | |
988 | 7,892 | |
- | 1.3% | |
0.0 | 10.0 | |
11 months ago | about 18 hours ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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audible-activator
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FOSS Audiobook apps
Both apps require you to have audiobooks as files and download them in an accessible format. If you have audible audiobooks, you need to convert those to an open format first using something like AAX2MP3 + audible-activator
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Converting .aaxc files to mb4
i convert ALL my audible files to M4B using ffmpeg. using this command line: "ffmpeg -activation_bytes xxx -i ab.aax -vn -c:a copy output.m4a", where xxx is your audible auth code. you can get your auth code by using https://github.com/inAudible-NG/audible-activator. i download the aax files on my pc from the audible website. work great every time.
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Amazon locked my account, lost everything. Back up your books.
I would encourage users not to use OpenAudible as they tend to engage in shady practices. They've stolen code from the original inAudible project and then released it as a closed-source commercial project. Users have complained about losing access to OpenAudible after upgrading: OpenAudible v3.3 upgrade warning/alert
- Any privacy focused e-book readers out there?
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Real hidden gems when it comes to self hosting
You can use https://github.com/inAudible-NG/audible-activator, which is what OpenAudible supposedly stole their code from. And to convert the aax files you can use https://github.com/KrumpetPirate/AAXtoMP3.
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I set up Plex for Audiobooks and I pretty impressed
It worth noting the OpenAudible folks “stole” the IP from the open source project audible-activator and have used it in their paid software.
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How to Convert my bought audiobooks to MP3?
https://github.com/inAudible-NG/audible-activator https://sourceforge.net/projects/aaxtomp3/
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How to save/rip audiobooks from Audible app?
inaudible.
- [Arschlochdesign] Amazon versucht mich vom Prime-Kündigen abzuhalten, indem es über das Auslaufen der Prime-Vorteile lügt
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Downpour: DRM Free Audiobooks
https://github.com/inAudible-NG/audible-activator
But had success using:
espnet
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WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
You might check out this list from espnet. They list the different corpuses they use to train their models sorted by language and task (ASR, TTS etc):
https://github.com/espnet/espnet/blob/master/egs2/README.md
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[D] What's stopping you from working on speech and voice?
- https://github.com/espnet/espnet
- Íslensk talgervilsrödd sem hægt er að nota á Macca
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High quality, fast performing, local text to speech generation
This link has instructions for doing this for a Japanese model. It would have to be altered to work with ljspeech and the fine tune dataset.
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Text to speech generation
This work is made possible by the excellent advancements in text to speech modeling. ESPnet is a great project and should be checked out for more advanced and a wider range of use cases. This pipeline was also made possible by the great work from espnet_onnx in building a framework to export models to ONNX.
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[P] TorToiSe - a true zero-shot multi-voice TTS engine
CMU WavLab has ESPNet https://espnet.github.io/espnet/ which includes a number of high quality TTS models including VITS (which in my subjective experience is just as good as what is demonstrated here). Also the inference on various ESPNet pretrained TTS models is reasonable and sentences take on average 5 seconds per word to generate the waveform on my totally mid PC setup.
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How to get Job in NLP?
The reason I'm saying this is to point out that having and in-depth knowledge on speech processing/generation requires a lot of information about signal processing and human speech in general (eg. acoustics and phonetics). However, if you're not into learning everything there is to know about a subject, just take one state-of-the-art example and study that as best as you can. Pick one environment/toolkit, for example espnet and simply go with that.
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Help picking a good speech recognition library
https://github.com/espnet/espnet (kind of like a newer Kaldi, but also not beginner friendly)
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speechbrain VS espnet - a user suggested alternative
2 projects | 13 Oct 2021
both provide e2e ASR support but espnet does have more utilities where as speechbarain is clean
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Need help with training ASR model from scratch.
This is relatively small amount of speech to train the model from scratch, but you can train using another pre-trained model for initialization. There are numbers of end-to-end ASR toolkits which can be used for this: https://github.com/NVIDIA/NeMo and https://github.com/espnet/espnet
What are some alternatives?
openaudible - Audiobook Manager for Audible Users
speechbrain - A PyTorch-based Speech Toolkit
AaxAudioConverter - Convert Audible aax files to mp3 and m4a/m4b
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)
Audnexus.bundle - An Audnexus client proof of concept for Plex, providing rich author and audiobook data. Developed in Python, offering enhanced user experiences via Plex's legacy plugin agent system.
k2 - FSA/FST algorithms, differentiable, with PyTorch compatibility.
audiobookshelf - Self-hosted audiobook and podcast server
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
audible-cli - A command line interface for audible package. With the cli you can download your Audible books, cover, chapter files.
kaldi-gstreamer-server - Real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framwork.
AudioAnchor - Android audio player that tracks the listening progress of your audio books and podcasts
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.