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 #2140 · 24 mai
~ FUNZIONI DI OXYGENOS 9.5 CHE VERRANNO PORTATE SUI VECCHI TELEFONI ~ #OP5#OP5T#OP6#OP6T#OXYGEN OnePlus ha rotto il silenzio sulla possibilità che le funzioni esclusive di OnePlus 7 e 7 Pro arrivassero sui vecchi top di casa OnePlus. La risposta è un grande SÌ! Eccole tutte: • MODALITÀ FNATIC: La nuova frontiera del gaming sarà disponibile presto per tutti gli OP fino al 5! • MODALITÀ ZEN: Qualcuno di voi ce l'avrà giò essendo scaricabile manualmente, ma arriverà presto come app di sistema eliminando tutti i malfunzionamenti! • REGISTRATORE SCHERMO: Così come la Modalità Zen, anche il registratore schermo è già scaricabile, ma arriverà presto come app di sistema • RISPOSTA RAPIDA IN LANDSCAPE: Già in beta per tutti fino al 5, verrà presto portata nel ramo stabile • DC DIMMING: L'alternativa del gestore della luminosità schermo per migliorarne la qualità arriverà su OnePlus 6 e 6T e poi verrà valutata l'abilitazione anche sui telefoni del 2017 • RAM BOOST: Già disponibile nelle beta di OP6 e 6T, arriverà anche su 5 e 5T aumentanto la già eccellente velocità dei telefoni Che ne dite? Siete felici? 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