An efficient lexical tree search for large vocabulary continuous speech recognition
نویسندگان
چکیده
This paper describes an efficient search algorithm for a high speed and high accuracy LVCSR system. A conventionally used lexical tree search is an efficient method, but has a problem in incorporating the language probability. To solve this problem, we propose in this paper a new efficient search algorithm incorporating the language model structure. In our developed LVCSR, 2-pass search algorithm is adopted to produce a word graph as an intermediate expression. The experimental results on the 20,000-word Japanese dictation task showed that the proposed method can reduce approximately half of the processing time without increasing any errors.
منابع مشابه
Speech Input Acoustic Analysis Phoneme Inventory Pronunciation Lexicon Language Model
This paper gives an overview of an architecture and search organization for large vocabulary, continuous speech recognition (LVCSR at RWTH). In the rst part of the paper, we describe the principle and architecture of a LVCSR system. In particular, the issues of modeling and search for phoneme based recognition are discussed. In the second part, we review the word conditioned lexical tree search...
متن کاملSpeech Input Acoustic Analysis Phoneme Inventory Pronunciation Lexicon
This paper gives an overview of an architecture and search organization for large vocabulary, continuous speech recognition (LVCSR at RWTH). In the rst part of the paper, we describe the principle and architecture of a LVCSR system. In particular, the issues of modeling and search for phoneme based recognition are discussed. In the second part, we review the word conditioned lexical tree search...
متن کاملEffective lexical tree search for large vocabulary continuous speech recognition
In this paper, we present an e cient calculation of the factored LM probabilities for speeding up the large vocabulary continuous speech recognition. We introduced a novel technique based on the independent calculation of the factored LM probability. The basic idea of the proposed method is that each factored LM probability is calculated on-demand for a new combination of a previous word hypoth...
متن کاملSegmental search for continuous speech recognition
The paper illustrates a search strategy for continuous speech recognition based on the recently developed Fast Segmental Viterbi Algorithm (FSVA) [5], a new search strategy particularly e ective for very large vocabulary word recognition. The FSVA search has been extended to deal with continuous speech using a network that merges a general lexical tree and a set of bigram subtrees generated on ...
متن کاملSpoken Term Detection for Persian News of Islamic Republic of Iran Broadcasting
Islamic Republic of Iran Broadcasting (IRIB) as one of the biggest broadcasting organizations, produces thousands of hours of media content daily. Accordingly, the IRIBchr('39')s archive is one of the richest archives in Iran containing a huge amount of multimedia data. Monitoring this massive volume of data, and brows and retrieval of this archive is one of the key issues for this broadcasting...
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 2000