منابع مشابه
Real-Time Speech Recognition Systems
• Implemented corrective training to improve recognition performance; on the standard training set this improves speaker-independent perplexity 60 performance from 6.7% error to 5.1% error, and for a larger training set (about 11,000 sentences), improves speaker-independent recognition from 5.3% error to 4.1% error. Plans • Complete the construction of the current hardware design, and develop s...
متن کاملReal-Time Speech Recognition System
PROJECT GOALS SRI and U.C.Berkeley are developing hardware for a real-time implementation of spoken language systems (SLS). Our goal is to develop fast speech recognition algorithms and supporting hardware capable of recognizing continuous speech from a bigram or trigram based 10,000 word vocabulary or a 1,000 to 5,000 word SLS system. RECENT RESULTS The special-purpose system achieves its high...
متن کاملReal-Time Closed-Captioning Using Speech Recognition
There is a great need for more TV programs to be closed-captioned to help hearing impaired and elderly people watch TV. For that purpose, automatic speech recognition is expected to contribute to providing text from speech in real-time. NHK has been using speech recognition for closed-captioning of some of its news, sports and other live TV programs. In news programs, automatic speech recogniti...
متن کاملBBN Real-Time Speech Recognition Demonstrations
Starting in 1990 [1] [2] we have taken a different approach based on modifying the algorithms to provide increased speed without loss in accuracy. Our goal has been to use commercially available off-the-shelf (COTS) hardware to perform speech recognition. Initially, this meant using workstations with powerful but standard signal processing boards acting as accelerators. However, even these sign...
متن کاملReal-time automatic emotion recognition from speech
Recently, the importance of reacting to the emotional state of a user has been generally accepted in the field of human-computer interaction and especially speech has received increased focus as a modality from which to automatically deduct information on emotion. So far, mainly academic and not very application-oriented offline studies based on previously recorded and annotated databases with ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/14003-2048