Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Machine-learning models for speech and recognition have broad AI applications, including in chatbots and digital avatars. This has led to intense competition among China’s Big Tech firms wanting ...

Automatic Speech Recognition (ASR) has historically been a driving force behind many machine learning (ML) techniques, including the ubiquitously used hidden Markov model, discriminative learning, ...

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...

Speechmatics offers a machine learning solution to converting speech to text, with its automatic speech recognition solution available to use on existing audio and video files as well as for live use.

Kenneth Harper, general manager of the Dragon product portfolio at Microsoft, has worked in the AI and speech technology space for more than two decades and touted the new voice-enabled Dragon ...

Our speech processing team has been working on a Discrete Multimodal Large Language Model (DMLM), which is capable of flexibly translating data across modalities to perform various speech processing ...