A FPGA-based Viterbi algorithm implementation for speech recognition systems
نویسندگان
چکیده
1 Professor in Electrical Department, Engineering School at Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre – RS Brazil 2 Professor in Electrical Department, Engineering School at Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre – RS Brazil 3 Researcher in the Electrical Department, Engineering School at Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre – RS Brazil ABSTRACT
منابع مشابه
Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM
Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...
متن کاملSpeech recognition in programmable logic
Speech recognition is a computationally demanding task, especially the decoding part, which converts pre-processed speech data into words or sub-word units, and which incorporates Viterbi decoding and Gaussian distribution calculations. In this thesis, this part of the recognition process is implemented in programmable logic, specifically, on a field-programmable gate array (FPGA). Relevant bac...
متن کاملSpeech Recognition on an FPGA Using Discrete and Continuous Hidden Markov Models
Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. Any device that can reduce the load on, for example, a PC’s processor, is advantageous. Hence we present FPGA implementations of the decoder based alternately on discrete and continuous hidden Markov models (HMMs) repre...
متن کاملHardware Implementing of a New Decoding Algorithm HGSCA for HMM- Based Speech Recognition Systems
Since Hidden Markov Model (HMM) can model speech signal dynamicity, it has been used in speech recognition field successfully. The HMM-based speech recognition systems can compute the similarity between an input pattern and a reference model, with using decoding algorithms, Baum-Welch and Viterbi. Since such algorithms are based on dynamic programming (DP), they include many computations. In th...
متن کاملImplementing a Simple Continuous Speech Recognition System on an FPGA
Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. We present an FPGA implementations of the decoder based on continuous hidden Markov models (HMMs) representing monophones, and demonstrate that it can process speech 75 times real time, using 45% of the slices of a Xili...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001