Libreware
@libreware · Post #1085 · 04/05/2022 09:32
Wenet Automatic #Speech#Recognition toolkit. https://github.com/wenet-e2e/wenet https://wenet.org.cn/wenet/
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Chaîne source @OnePlusGuide · Post #2357 · 12 mars
~ MAGISK HIDE É MORTO? ~ #MAGISK#ROOT John Wu, lo sviluppatore di Magisk, ha pubblicato su Twitter un annuncio preoccupante. Stando a quanto dice, Google avrebbe corretto la falla che permetteva al suo tool di aggirare i controlli SafetyNet di Google e falsificare lo stato di sicurezza del bootloader, che permettono l'esecuzione di app come Google Pay, Netflix e le app bancarie. Senza Magisk Hide, i dispositivi con bootloader sbloccato non potranno più ottenere la certificazione Google e quei servizi non saranno più utilizzabili. Magisk Hide rimane parzialmente funzionante. La sua abilità di nascondere il root rimane attiva. Sarà quindi possibile usare le app che non usano SafetyNet ma verificano semplicemente la presenza del root. Continuerete ad usare Magisk? Pierre
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Libreware
@libreware · Post #1084 · 04/05/2022 09:32
Vosk Speech Recognition Toolkit Vosk is an offline open source #speech#recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech. More to come. Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification. Speech recognition bindings implemented for various programming languages like Python, Java, Node.JS, C#, C++ and others. Vosk supplies speech recognition for chatbots, smart home appliances, virtual assistants. It can also create subtitles for movies, transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphone to big clusters. https://t.me/speech_recognition https://alphacephei.com/vosk https://github.com/alphacep/vosk-api
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Libreware
@libreware · Post #1021 · 09/01/2022 14:56
SongRec An open-source Shazam client for Linux, written in Rust. Features: • Recognize audio from an audio file. • Recognize audio from the microphone. • Usage from both GUI and command line. • Provide an history of the recognized songs. • Continuous song detection. • Ability to recognize songs from your speakers rather than your microphone. Download: https://github.com/marin-m/SongRec#installation https://github.com/marin-m/SongRec @foss_desktop #music#shazam#recognition
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Libreware
@libreware · Post #1192 · 06/10/2023 11:18
#Linux Desktop application that provides live #captioning FUTO Fellowship program interview; linux captions software 👉 Live Captions github: https://github.com/abb128/LiveCaptions 🔵 Q&A w/ billionaire alt-tech investor/philanthropist Eron Wolf https://www.youtube.com/watch?v=OJPmbcU-Vzo 🔵 FUTO Fellows program: https://futo.org/fellows/ 🔵 FUTO Youtube channel - @futotech ⚠️ Google's breaches of privacy have gone TOO FAR! https://www.youtube.com/watch?v=_vWAF13KigI #speech#recognition#stt#voice
djangoproject
@djangoproject · Post #448 · 18/09/2017 11:30
https://medium.com/@GalarnykMichael/logistic-regression-using-python-sklearn-numpy-mnist-handwriting-recognition-matplotlib-a6b31e2b166a Logistic Regression using Python (#Sklearn, #NumPy, #MNIST, Handwriting #Recognition, #Matplotlib) #machine_learning.
Libreware
@libreware · Post #1114 · 09/03/2023 22:58
https://writeout.ai #Transcribe and #translate any #audio file. 100% free to use. This website with source code available (it can be hosted locally) allows you to upload any audio file and receive a transcription and/or text translation. It uses OpenAI's Whisper API on the back end. Source on GitHub: https://github.com/beyondcode/writeout.ai #writeout#ai#speech#recognition