Real-Time Contrast Enhancement to Improve Speech Recognition

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Real-Time Contrast Enhancement to Improve Speech Recognition

An algorithm that operates in real-time to enhance the salient features of speech is described and its efficacy is evaluated. The Contrast Enhancement (CE) algorithm implements dynamic compressive gain and lateral inhibitory sidebands across channels in a modified winner-take-all circuit, which together produce a form of suppression that sharpens the dynamic spectrum. Normal-hearing listeners i...

متن کامل

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 کامل

Real-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 کامل

Real-Time Speech Enhancement with GCC-NMF

We develop an online variant of the GCC-NMF blind speech enhancement algorithm and study its performance on two-channel mixtures of speech and real-world noise from the SiSEC separation challenge. While GCC-NMF performs enhancement independently for each time frame, the NMF dictionary, its activation coefficients, and the target TDOA are derived using the entire mixture signal, thus precluding ...

متن کامل

Real-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 کامل

ذخیره 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: PLoS ONE

سال: 2011

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0024630