Research could bring automatic speech recognition to 2,000 languages
Only a fraction of the 7,000 to 8,000 languages spoken around the world benefit from modern language technologies like voice-to-text transcription, automatic captioning, instantaneous translation and voice recognition. Carnegie Mellon University researchers want to expand the number of languages with automatic speech recognition tools available to them from around 200 to potentially 2,000.
Only a fraction of the 7,000 to 8,000 languages spoken around the world benefit from modern language technologies like voice-to-text transcription, automatic captioning, instantaneous translation and voice recognition. Researchers want to expand the number of languages with automatic speech recognition tools available to them from around 200 to potentially 2,000.
Amazon Transcribe is a fully managed automatic speech recognition (ASR) service that makes it straightforward for you to add speech-to-text capabilities to your applications. Today, we are happy to announce a next-generation multi-billion parameter speech foundation model-powered system that expands automatic speech recognition to over 100 languages. In this post,…
More than 75 million people speak Telugu, predominantly in India’s southern regions, making it one of the most widely spoken languages in the country. Despite such prevalence, Telugu is considered a low-resource language when it comes to speech AI. This means there aren’t enough hours’ worth of speech datasets to…