fotonik-sk/stm32n6-speech-recognition

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 4 – Oct 26, 2026

Stars +41 in 23 days

Forks +3 in 23 days

Merged PRs 0 in 23 days

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 4Oct 7Oct 10Oct 13Oct 16Oct 19Oct 22Oct 25

Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day	Stars gained	Forks gained
Sun, Oct 4, 2026	+0	+0
Mon, Oct 5, 2026	+7	+1
Tue, Oct 6, 2026	+10	+0
Wed, Oct 7, 2026	+5	+1
Thu, Oct 8, 2026	+2	+0
Fri, Oct 9, 2026	+1	+0
Sat, Oct 10, 2026	+3	+1
Sun, Oct 11, 2026	+4	+0
Mon, Oct 12, 2026	+3	+0
Tue, Oct 13, 2026	+2	+0
Wed, Oct 14, 2026	+1	+0
Thu, Oct 15, 2026	+0	+0
Fri, Oct 16, 2026	+2	+0
Sat, Oct 17, 2026	+0	+0
Sun, Oct 18, 2026	+0	+0
Mon, Oct 19, 2026	+0	+0
Tue, Oct 20, 2026	+0	+0
Wed, Oct 21, 2026	+0	+0
Thu, Oct 22, 2026	+0	+0
Fri, Oct 23, 2026	+0	+0
Sat, Oct 24, 2026	+0	+0
Sun, Oct 25, 2026	+0	+0
Mon, Oct 26, 2026	+1	+0
Total	+41	+3

#1 on the list
Rank that day
Not trending

lokutor-ai/oido

Oído: open-vocabulary speech recognition that fits in a $5 ESP32-S3. 3.7% LibriSpeech WER, no cloud, no NPU.

1218

Optimized ESP32-S3/P4 fully offline speech to text and text to speech system for Micropython and AtomVM, featuring a finetuned STT model for noisy environments, plus a data generation/field capture/model finetuning framework. Includes high performance 4/8bit int kernels for Xtensa/RiscV PIE vector units

498

mozilla/DeepSpeech

C++

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.

26.8k4k

ggml-org/whisper.cpp

C++

Port of OpenAI's Whisper model in C/C++

54.7k6.5k

lspr98/conformer-stt-s3

C++

Automatic speech recognition (ASR) running on the ESP32-S3 based on a 13.1M parameters convolution transformer.

617

k2-fsa/sherpa-onnx

C++

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, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages

15.5k1.9k

alphacep/vosk-api

Jupyter Notebook

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

15.2k1.8k

brian-smith-github/ch32v003_stt

Simple Speech-To-Text on the '10 cents' CH32V003 Microcontroller

24511

espressif/esp-sr

Speech recognition

1.6k230

Momentum