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Audio Development
Anything related to audio development. Embedded or not.C++
Dev. quality
Repos for things like project templates, Vim packages, organizational/informational meta repos, etc.Embedded
Repos that are focused on embedded projects. Not necessarily Tiny ML type repos.ML
Pure ML repos - more likely than not research paper implementations or explanations of algorithms. Not focused on embedded applications.Stars
Vouch-compatible PR-spam reduction Github Action workflow + CLI tool
historical archive of rust pre-publication development
RePAST: Revised Accessible Pipeline for Automated Transcription.
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)
Operator-level compressed GTCRN with ERB-CRM pipeline preserved and DPGRNN intact, ready for edge deployment.
Complete guide and toolkit for fine-tuning Moonshine ASR models for custom languages. Includes French example with 21.8% WER.
Fast and accurate automatic speech recognition (ASR) for edge devices
AI Model Zoo services for STM32 devices
A higher-level Neural Network library for microcontrollers.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RG…
A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct…
A training code template for DNN-based speech enhancement.
TensorFlow Lite Micro for Espressif Chipsets
Support PyTorch model conversion with LiteRT.
Conversion of PyTorch Models into TFLite
A syntax-highlighting pager for git, diff, grep, and blame output
An example of a speech enhancement model deployed with TensorRT.
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Official baseline, dataset and evaluation scripts for the ICASSP 2026 URGENT challenge.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Andr…
The official implementation of GTCRN, an ultra-lightweight SE model.
an architecture for neural network inference in real-time audio applications