@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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Canale sorgente @WritingWay · Post #1597 · 6 mar
Fonologia, morfologia e sintassi: le basi della grammatica 📖 #writingtips#scriverebene Sai qual è la differenza tra fonologia, morfologia e sintassi? 👇 1. Fonologia 🗣️ 👉Studia i suoni della lingua e il loro valore distintivo. Es.: "Pala" e "Bala" si distinguono per un solo suono, ma cambiano completamente significato. 2. Morfologia 🔤 👉 Analizza la struttura delle parole, le loro forme e le regole di flessione. Es.: "Cantare", "cantavo", "canterò" → stessa radice, ma forme diverse. 3. Sintassi 🏗️ 👉 Studia come le parole si combinano per formare frasi corrette e comprensibili. Es.: "Il cane rincorre il gatto" 🆚 "Il gatto rincorre il cane" → stessi elementi, ma significato diverso! 💡 In breve: 📌 Fonologia = suoni 🔊 📌 Morfologia = parole 📝 📌 Sintassi = frasi 🏗️ 🔥 Conoscere queste regole ti aiuta a scrivere testi più chiari, scorrevoli e corretti. @writingway 🙌Se pensi che questo post possa interessare ad altre persone, condividilo cliccando sulla freccia a destra.
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Cerca: #recognition
@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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@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 · 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 · 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 · 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 · 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