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Introduction to the Special Section on Large-Scale Optimization for Audio, Speech, and Language Processing

Dimitri Kanevsky, Xiaodong He, Georg Heigold, Haizhou Li, Stephen J. Wright
2013 IEEE Transactions on Audio, Speech, and Language Processing  
The overview paper "Optimization Algorithms and Applications for Speech and Language Processing," by Stephen J.  ...  Introduction to the Special Section on Large-Scale Optimization for Audio, Speech, and Language Processing P ATTERN recognition in audio, speech, and language processing requires estimation of parameters  ... 
doi:10.1109/tasl.2013.2283631 fatcat:gfdjgznuabfftesqwenuqu2ub4

An optimal method for enhancing the generation of machine code from natural language data set

Chhayarani Ram Kinkar, Yogendra Kumar Jain
2019 International Journal of Engineering & Technology  
The designed model is useful for a number of practical applications and very simple to implement.  ...  Natural language processing is a very active area of research and development, there is not a single agreed upon a method that would satisfy everyone for the use of natural language to operate electronic  ...  This separability property places speech and language processing, formulation into some framework to draw inferences from natural language speech data set for practical application [5] .  ... 
doi:10.14419/ijet.v8i4.26593 fatcat:ohs47jqp2rf63aqfipw4i4nb4u

Optimization in speech-centric information processing: Criteria and techniques

Xiaodong He, Li Deng
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Automatic speech recognition (ASR) is an enabling technology for a wide range of information processing applications including speech translation, voice search (i.e., information retrieval with speech  ...  We also analyze the EBW-based optimization algorithms employed in our work and discuss its relationship with other popular optimization techniques.  ...  In this paper, we address this critical optimization inconsistency problem, motivating our development of a unifying end-to-end optimization framework for speech-centric information processing applications  ... 
doi:10.1109/icassp.2012.6289102 dblp:conf/icassp/HeD12 fatcat:oa52li3e7ffexmhdyupuqavpqu

A Robust Isolated Automatic Speech Recognition System using Machine Learning Techniques

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
For example speech recognition, speaker verification and speaker recognition.  ...  The basic stages of speech recognition system are pre-processing, feature extraction and feature selection and classification.  ...  Each language has its own constraints for validity and with variation in speech application there is variation in complexity and method of modelling language.  ... 
doi:10.35940/ijitee.j8765.0881019 fatcat:n7vfdkeehfavzf2utjlpuggiui

A speech recognition approach for an industrial training station

Valentin-Cătălin Govoreanu, Adrian-Nicolae Ţocu, Alin-Marius Cruceat, Dragoş Circa, N.F. Cofaru, M. Inţă
2021 MATEC Web of Conferences  
By working with different API's for both English and Romanian languages, the presented approach manages to obtain good speech recognition for defining task phrases aiding the training procedure and to  ...  This engine grants users the possibility to interact seamlessly with other components in order to ensure a gradual and productive learning process.  ...  After the Python script processes the received data, the result is sent back to the main SR application. For testing the accuracy of the algorithm, we tested it on 32 speakers, 16 female and 16 male.  ... 
doi:10.1051/matecconf/202134304003 fatcat:2dgkkgwc6zdldazo6cnfg3xc4a

A Novel Approach for Estimation and Optimization of Memory In Low Power Embedded Systems

Srilatha C, Guru Rao C. V
2009 Journal of clean energy technologies  
The paper describes a method for estimation and optimization of memory size in low power embedded systems.  ...  It can be even employed for high level memory exploration applications while successfully meeting the performancecost design metrics of the system.  ...  The following speech recognition algorithm contains of two parts. They are the search algorithm and the processing part [13] .  ... 
doi:10.7763/ijcte.2009.v1.93 fatcat:jaoqla4j2rhfjigiouppgafzcm

High-Order Markov Random Fields and Their Applications in Cross-Language Speech Recognition

Jiang Zhipeng, Huang Chengwei
2015 Cybernetics and Information Technologies  
In this paper we study the cross-language speech emotion recognition using high-order Markov random fields, especially the application in Vietnamese speech emotion recognition.  ...  Second, we adopt the high-order Markov random fields (MRF) to optimize the cross-language speech emotion model. The dimensional restrictions may be modeled by MRF.  ...  Acknowledgment: The work in this paper is funded by project of Jinling Institute of Technology 2015JYJG22 and JITN201523.  ... 
doi:10.1515/cait-2015-0054 fatcat:4aubkhtajfcqvj2xpq3lpc6jrq

Model and Verification of Medical English Machine Translation Based on Optimized Generalized Likelihood Ratio Algorithm

Peng Yu, Youyu Zhu, Kelvin Wong
2021 Journal of Sensors  
According to the comprehensive verification, the translation model employing the optimized GLR algorithm was seen to improve the speed, accuracy, and update performance of machine translation and was seen  ...  With the aim of breaking through the bottleneck of machine translation in medical field, this paper designed a machine translation model based on the optimized generalized likelihood ratio (GLR) algorithm  ...  Style Spoken and written Tense Past, present, future Data Text Corpus processing Level Part of speech, alignment Processing Man-machine communication Corpus application Scale Medical English translation  ... 
doi:10.1155/2021/7062511 fatcat:5oos5avhpjeaxk42vtndww5lri

Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm

Hui Dong
2020 Complexity  
The system has reasonable recognition ability for general speech, and the improved particle filter algorithm evaluation method is further used to optimize the defect of the English speech rationality and  ...  filter algorithm for parameter identification accuracy and calculation efficiency.  ...  optimization process. e above formula is the core formula of speech recognition, which can be seen as a combination of two parts, the language model P (M) and the acoustic model P (T | M); the language  ... 
doi:10.1155/2020/6053129 fatcat:l3wzwib3jrc7zoqes2tzd4rzfu

Page 269 of Computational Linguistics Vol. 23, Issue 2 [page]

1997 Computational Linguistics  
Finite-State Transducers in Language and Speech Processing Mehryar Mohri’ AT&T Labs-Research Finite-state machines have been used in various domains of natural language processing.  ...  We recall classical theorems and give new ones characterizing sequential string-to- string transducers. Transducers that output weights also play an important role in language and speech processing.  ... 

Using Vector Quantization Technique in Recognition of Gurbani Hymns (Japji Sahib): LBG Algorithm (VQ)

2019 International Journal of Engineering and Advanced Technology  
The work has been done by using VQ approach of speech recognition and LBG algorithm which design optimal codebooks for the process of recognition.  ...  ASR for different languages and different applications has been introduced so far.  ...  Quantization perform significant role in signal processing, speech processing and image processing.  ... 
doi:10.35940/ijeat.f8667.088619 fatcat:p7edfc4i4jcydcrgeczl6np2iq

Optimization of a Real-Time Wavelet-Based Algorithm for Improving Speech Intelligibility [article]

Tianqu Kang, Anh-Dung Dinh, Binghong Wang, Tianyuan Du, Yijia Chen, Kevin Chau
2022 arXiv   pre-print
The proposed algorithm is implementable for real-time signal processing and comparatively simpler than previous algorithms.  ...  The optimization of a wavelet-based algorithm to improve speech intelligibility is reported.  ...  This paper elaborates on the evaluation of speech intelligibility and the optimization scheme for the algorithm.  ... 
arXiv:2202.02545v1 fatcat:6qaxqwdzlfdrdelw5om2z44asa

Automatic localization of a language-independent sub-network on deep neural networks trained by multi-lingual speech

Shigeki Matsuda, Xugang Lu, Hideki Kashioka
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
Our basic assumption is that, in a DNN for speech processing, language-independent feature processing is done in stages that are near to the input layer, while language-dependent processing is performed  ...  The results demonstrate that a language-independent sub-network DNN extracted by our technique can be used as a universal network for speech processing of additional new languages.  ...  INTRODUCTION Deep neural networks (DNNs) have been successfully applied to many applications, such as image processing and speech recognition [1, 2, 3] .  ... 
doi:10.1109/icassp.2013.6639092 dblp:conf/icassp/MatsudaLK13 fatcat:nnhuwnclnva6hccdaqxalit3ci

IEEE Signal Processing Letters EDICS

2013 IEEE Signal Processing Letters  
SPE-SLID Speaker/Language identification and diarization SPE-SPL Spoken language processing AEA: Audio and Acoustic Signal Processing AEA-RES Audio and Speech signals restoration AEA-FEC Feedback  ...  Fast DSP algorithms, transforms and computation DSP-SAMP Sampling, extrapolation and interpolation DSP-SPE Speech processing SPE-RECO Speech recognition SPE-ANAL Speech coding, synthesis and analysis  ... 
doi:10.1109/lsp.2013.2246713 fatcat:aou2y3mzy5cp5nxeywljymeuse

Real-Time Voice Transmission over Wireless Sensor Network (VoWSN) based Automatic Speech Recognition (ASR) Technique

Ina`am Fathi, Qutaiba Ibrahim, Jassim M. Abdul-Jabbar
2019 Al-Rafidain Engineering Journal  
The speech recognition process under the embedded system with constrained resources represents a challenge in terms of processing capability, storage memory, and B.W (or data rate).  ...  language model (i.e. large vocabulary) to fully embedded ASR system with customized dictionary and language model (i.e. small vocabulary ).  ...  Thus, in this paper an algorithm for optimizing Dic. and LM is proposed and implemented.  ... 
doi:10.33899/rengj.2020.126441.1005 fatcat:4yax6pnaynfwhdtugttn3o27gm
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