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/
Hashtags
TGTGInsightintelligence telegramLIVE / telegram public index
TGINSIGHT SIMILAR POSTS
Trova contenuti simili
Canale sorgente @WritingWay · Post #1209 · 22 apr
DOMANDE E RISPOSTE ❓❓❓🧐 #scrittura#comunicazione DOMANDA❓ Qual è il professionista che può valutare il mio contratto editoriale? RISPOSTA🤓 Il consulente editoriale perché ha una solida formazione nell'analisi della contrattualistica, in genere ha anche una laurea in giurisprudenza o si avvale di una consulenza legale. Può essere anche un editor con competenze in quest'ambito (l'analisi contrattuale, per esempio, rientra nelle mie competenze con il supporto di un team legale). La professione di consulente è regolata dalla legge? ✅ Sì, rientra nel Codice Civile, Libro V, titolo III del codice civile, art. 2222 e seguenti che disciplinano il lavoro autonomo. 🤓 Se vuoi saperne di più ti consiglio di leggere il mio articolo "Consulente editoriale: chi è e quando ne hai bisogno". ✍🏻Prima di firmare un contratto di consulenza verifica le competenze del professionista a cui ti affidi. ⏪⏪⏪ @writingway 🙌 Se pensi che questo post possa interessare ad altri, inoltralo cliccando sulla freccia a destra.
Hashtags
Risultati
6 post simili trovati
Cerca: #recognition
当前筛选 #recognition清除筛选
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
Hashtags
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
Hashtags
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