Error Minimization in Phoneme based Automated Speech Recognition for Similar Sounding Phonemes

被引：0

作者：

Gangaputra, Karan ^{[1
]}

机构：

[1] Natl Inst Technol, Surathkal 570025, Karnataka, India

来源：

INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND SYSTEM DESIGN 2011 | 2012年 / 30卷

关键词：

Automated Speech recognition; Phoneme based correction; Error minimization;

D O I：

10.1016/j.proeng.2012.01.878

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The technology of ASR (Automated Speech Recognition) has been quite successful with the use of Hidden Markov Model (HHM) with the aid of probabilistic and the best path methods. The words with limited vocabulary content can easily be modeled and trained. The modules with a large dictionary has to be modeled with context independent phones joining together to form a word. The major problem lies in recognizing the word with similar sounding phonemes. This paper aims in minimizing the error with similar sounding phonemes by using the viterbi algorithm for each similar syllable in the backward direction. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICCTSD 2011

引用

页码：402 / 409

页数：8

共 50 条

[21] Speech Rhythm-Based Speaker Embeddings Extraction from Phonemes and Phoneme Duration for Multi-Speaker Speech Synthesis
Fujita, Kenichi
Ando, Atsushi
Ijima, Yusuke
[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2024, E107D (01) : 93 - 104
[22] REDUCTION OF WORD AND MINIMAL PHRASE CANDIDATES FOR SPEECH RECOGNITION BASED ON PHONEME RECOGNITION.
Matsunaga, Sho-ichi
Kohda, Masaki
[J]. Systems and Computers in Japan, 1988, 19 (04) : 11 - 22
[23] Conversion from Phoneme Based to Grapheme Based Acoustic Models for Speech Recognition
Zgank, Andrej
Kacic, Zdravko
[J]. INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, : 1587 - 1590
[24] SPEECH RECOGNITION BASED ON TOP-DOWN AND BOTTOM-UP PHONEME RECOGNITION
MATSUNAGA, S
SHIKANO, K
[J]. REVIEW OF THE ELECTRICAL COMMUNICATIONS LABORATORIES, 1986, 34 (03): : 349 - 356
[25] Data Selection Based on Phoneme Affinity Matrix for Electrolarynx Speech Recognition
Hsieh, I-Ting
Wu, Chung-Hsien
Tsai, Shu-Wei
[J]. 2023 ASIA PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE, APSIPA ASC, 2023, : 2196 - 2202
[26] Emotional feature extraction based on phoneme information for speech emotion recognition
Hyun, Kyang Hak
Kim, Eun Ho
Kwak, Yoon Keun
[J]. 2007 RO-MAN: 16TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1-3, 2007, : 797 - +
[27] A STOCHASTIC SEGMENT MODEL FOR PHONEME-BASED CONTINUOUS SPEECH RECOGNITION
OSTENDORF, M
ROUKOS, S
[J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1989, 37 (12): : 1857 - 1869
[28] Feature Selection Using Game Theory for Phoneme Based Speech Recognition
Rekha, J. Ujwala
Chatrapati, K. Shahu
Babu, A. Vinaya
[J]. 2014 INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2014, : 962 - 966
[29] Comparison of Speech Features for Arabic Phonemes Recognition System based Malay Speakers
Abd Almisreb, Ali
Abidin, Ahmad Farid
Tahir, Nooritawati Md
[J]. 2014 IEEE CONFERENCE ON SYSTEMS, PROCESS AND CONTROL (ICSPC 2014), 2014, : 79 - 83
[30] Improvements of Search Error Risk Minimization in Viterbi Beam Search for Speech Recognition
Hori, Takaaki
Watanabe, Shinji
Nakamura, Atsushi
[J]. 11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 3 AND 4, 2010, : 1962 - 1965

← 1 2 3 4 5 →