Kaldi Speech Recognition Toolkit
speech-and-text-unity-ios-android
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Kaldi Speech Recognition Toolkit | speech-and-text-unity-ios-android | |
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22 | 1 | |
13,612 | 263 | |
1.0% | - | |
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about 2 months ago | about 1 month ago | |
Shell | C# | |
GNU General Public License v3.0 or later | MIT License |
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Kaldi Speech Recognition Toolkit
- Unsupervised (Semi-Supervised) ASR/STT training recipes
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[D] What's stopping you from working on speech and voice?
- https://github.com/kaldi-asr/kaldi
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C++ for machine learning
Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow.
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xbp-src to only cross compile 32-bit
Hello. I'm trying to package the openfst library (here)[https://github.com/void-linux/void-packages/pull/39015] but a developer says 32-bit must be cross compiled from 64-bit. I see xbps-src has a nocross option, but I don't see a way to only cross compile. What do you think I should do? I have currently limited the archs to 64-bit ones. Here's my issue with the developer's response: https://github.com/kaldi-asr/kaldi/issues/4808 Thank you.
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Is there a way to integrate a raspberry pi with a keyboard to do speech to text?
State-of-the-art ASR, like what you get on smartphones, has unfortunately high resource requirements. Some recent smartphone models are able to run ASR on-device, but more typically, ASR is done by sending audio to a web service. Check out the (currently experimental) Web SpeechRecognition API in a Chrome browser. Here is a demo of the API in action. For something open source, check out Kaldi ASR.
- How to get high-quality, low-cost Speech-to-Text transcription?
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SOTA speech to text framework?
I'm not how sure it stacks with recent state of art, but Kaldi toolkit (https://github.com/kaldi-asr/kaldi) used to be popular for building all kinds of practical integrations and experiments for speech recognition.
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5 Best Open Source Libraries and APIs for Speaker Diarization
Kaldi ASR is a well-known open source Speech Recognition platform. To use its Speaker Diarization library, you’ll need to either download their PLDA backend or pre-trained X-Vectors, or train your own models.
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Nerd-dictation, hackable speech to text on Linux
Vosk-api isn't an SST engine itself, it is built using the Kaldi speech recognition toolkit (https://github.com/kaldi-asr/kaldi) and nicely implements and packages an API for Kaldi chain/LF-MMI models.
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Help picking a good speech recognition library
https://kaldi-asr.org/ (best out of the box accuracy but it is a complicated toolkit and not beginner friendly)
speech-and-text-unity-ios-android
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Are there free AI text to speech resources?
PingAK9/Speech-And-Text-Unity-iOS-Android: Speed to text in Unity iOS use Native Speech Recognition (github.com)
What are some alternatives?
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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.
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
espnet - End-to-End Speech Processing Toolkit
rhasspy - Offline private voice assistant for many human languages
bert-for-inference - A small repo showing how to easily use BERT (or other transformers) for inference
kaldi-gstreamer-server - Real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framwork.
OpenAL
Maximilian - C++ Audio and Music DSP Library
KFR - A benchmark for comparison of FFT algorithms performance