![]() Apparently, the best most human lip-readers get is only 40% (they're wrong four times in ten.) Obviously, for things such as transcribing talks after the fact, this could be a huge boost to software programs. The word-error rate in AV-HuBERT's best showing is, indeed, far better than human, professional lip readers, at 26.9%. ![]() So, how real is something such as HAL 9000's lip reading? The notion that AI is now better than humans at lip reading has been written about in recent years with previous AI work. "Our future work includes applying audio-visual speech recognition in real-world low-resource and multilingual settings," they write. So much so that AV-HuBERT garners a 50% reduction in the word-error rate, or WER, the proportion of mistaken words, versus previous speech recognition systems. The result, they write, is that the program gets good at getting around the babble. That question has been around for a long time. ![]() It was just showing that he could read their lips. The ship is also occupied by a number of human passengers, three of whom are in suspended animation, leaving. In other words, Hal could understand everything they just said. MONDELLO: I remember the chill of realizing HAL's unblinking red eye could read lips. HAL, of course, hears the command by reading Daves lips, but he ignores. DOUGLAS RAIN: (As HAL 9000) The 9000 series is the most reliable computer ever made. Speech recognition "deployed in meeting scenarios is subject to babble noise, while one used in a home environment naturally encounters music, cooking, or vacuums machine noises." Their inquiry is whether such ambient noise can be overcome by AV-HuBERT.ĭuring training, Shi and the team mix in noise clips with AV-HuBERT's video frame and audio waveform samples. entity integrated into the Jupiter-bound spacecraft Discovery. HAL 9000: Homicidal computer and mascot of IJCAI 2001. Here, the focus is on how to do better parsing of speech in the context of noise. Shi and colleagues added to their findings with a second paper posted last week describing the use of AV-HuBERT for automatic speech recognition.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |