Suppose you want to train a text summarizer or an image classifier. Without using Gradio, you would need to build the front end, write back-end code, find a hosting platform, and connect all parts, ...
Abstract: There exist three approaches for multilingual and crosslingual automatic speech recognition (MCL-ASR) - supervised pretraining with phonetic or graphemic transcription, and self-supervised ...
Abstract: Automatic speech recognition (ASR) in air traffic control (ATC) is a low-resource task with limited data and difficult annotation. Fine-tuning self-supervised pre-trained models is a ...
In today’s voice-first world, it’s not enough for systems to simply hear what users say. They need to understand it with precision. In high-stakes environments like healthcare, finance, or enterprise ...
DBeaver provides speech recognition in AI Chat. This feature lets you convert spoken input into text, which can then be used to generate SQL queries or ask questions about your databases. Note: The ...
Stronger performance: Achieve SOTA results across a variety of speech-centric tasks. More versatile: Support image, video, speech/long-speech, sound understanding and speech generation. More efficient ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback