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Trint might be a bit more popular than Picovoice Leopard Speech-to-Text. We know about 8 links to it since March 2021 and only 7 links to Picovoice Leopard Speech-to-Text. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Create audio descriptions of visual content, such as images and videos. Descript, Caption AI, Trint, and IBM Watson Captioningare good tools for generating captions and descriptions for videos. Source: over 2 years ago
You could check on this for transcription. Source: over 2 years ago
There's simple ones like Trint (https://trint.com/) for transcription of interviews and things like Grammarly for improving text. ChatGPT is also good at improving text: chat.openai.com/. Source: over 2 years ago
If not, see how you get on with Trint. Itโs AI transcription but you should find it more accurate than Premiere (and you can use it to quickly create SRT files after the transcript has been reviewed/corrected). Trint is very good. Source: almost 3 years ago
The client Iโm working for currently turned me on to https://trint.com/. Itโs a transcription service that syncs the searchable transcript to the time code of the clip. Script has bad timecode for a cut? Search the text to jump to the correct time. Bad inflection on the end of a sound bite? Search for the word with a period after it, so you only get sentence ending instances of the word. It has made my life so... Source: about 3 years ago
Picovoice processes on the device and you can fine-tune the models https://picovoice.ai/platform/cat/. - Source: Hacker News / over 2 years ago
Oh, Azure's speech recognition API beats it handily on English language. Both in accuracy and speed. Another is Deepgram. Even this obscure vendor seems to be able to handle the samples I tried: https://picovoice.ai/platform/cat/. - Source: Hacker News / over 2 years ago
Day 23 is the day to show how to run an ASR (Automatic Speech Recognition) with Picovoice Leopard Speech-to-Text and AWS Lambda. - Source: dev.to / over 2 years ago
Historically, thereโs been several roadblocks to local transcription. Not anymore with Picovoice Leopard Speech-to-Text SDK for cross-platform .NET. - Source: dev.to / over 2 years ago
After getting a transcription request, the server starts an instance of Leopard and keeps reading the shipped bytes until the EOF. Then, the bytes are stored as a temporary file and passed to Leopard. Finally, the transcription is sent back to the client side along with a status code. - Source: dev.to / over 2 years ago
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