IBM’s speech recognition system now boasts a 5.5 percent error rate. This milestone is an industry record for conversational speech recognition, according to IBM ...
It turns out that simultaneous voice transcription is one of the hardest engineering problems in modern artificial ...
Reports generated from automated speech recognition technology are associated with higher error rates than reports from conventional dictation transcription ...
The benchmark shows that global models from companies such as OpenAI, Microsoft and Meta perform poorly across a range of Indian languages, accents and dialects ...
WASHINGTON, April 30, 2024 – Interactions with voice technology, such as Amazon’s Alexa, Apple’s Siri, and Google Assistant, can make life easier by increasing efficiency and productivity. However, ...
Leading systems from OpenAI and Microsoft perform poorly. Sarvam models lead in Indian language recognition. This performance ...
Ola has unveiled QUASAR, a platform designed to solve one of the most persistent problems in enterprise voice AI: inconsistent speech recognition performance in real-world conditions. Rather than ...
One group commonly misunderstood by voice technology are individuals who speak African American English, or AAE. Researchers designed an experiment to test how AAE speakers adapt their speech when ...
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