English Speech Recognition System on Chip

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

System-on-Chip Architecture for Speech Recognition

This paper proposed a system-on-chip (SOC) architecture for speech recognition which is speaker dependent. The feature extraction bases on LPC (linear predictive coefficient)-cepstrum coefficients, and template matching employs Hidden Markov Models (HMM). It does not aim to offer a sophisticated solution but rather a high speed solution. This SOC architecture includes an ASIC of LPC-cepstrum an...

متن کامل

Speech Recognition System for English Language

This paper presents an overview of speech recognition technology. This report presents an overview of speech recognition technology, software, development and applications. It begins with a description of how such systems work, and the level of accuracy that can be expected. Present work is aimed at developing suitable speech recognition for hindi language, for the people who are physically ham...

متن کامل

The NAIST English Speech Recognition System for IWSLT 2013

This paper describes the NAIST English speech recognition system for the IWSLT 2013 Evaluation Campaign. In particular, we participated in the ASR track of the IWSLT TED task. Last year, we participated in collaboration with Karlsruhe Institute of Technology (KIT). This year is our first time to build a full-fledged ASR system for IWSLT solely developed by NAIST. Our final system utilizes weigh...

متن کامل

The IBM 2015 English conversational telephone speech recognition system

We describe the latest improvements to the IBM English conversational telephone speech recognition system. Some of the techniques that were found beneficial are: maxout networks with annealed dropout rates; networks with a very large number of outputs trained on 2000 hours of data; joint modeling of partially unfolded recurrent neural networks and convolutional nets by combining the bottleneck ...

متن کامل

The IBM 2016 English Conversational Telephone Speech Recognition System

We describe a collection of acoustic and language modeling techniques that lowered the word error rate of our English conversational telephone LVCSR system to a record 6.6% on the Switchboard subset of the Hub5 2000 evaluation testset. On the acoustic side, we use a score fusion of three strong models: recurrent nets with maxout activations, very deep convolutional nets with 3x3 kernels, and bi...

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: Tsinghua Science and Technology

سال: 2011

ISSN: 1007-0214

DOI: 10.1016/s1007-0214(11)70015-3