discriminative syntactic language modeling for speech recognition

... Brian Roark, and Murat Saraclar 2005 Discriminative syntactic language modeling for speech recognition In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics, pages ... Jelinek 2000 Structured language modeling Computer Speech and Language, 14(4):283–332 Stanley F Chen and Joshua Goodman 1998 An empirical study of smoothing techniques for language modeling Technical ... target language Chelba and Jelinek (1998) proposed that syntactic structure could be used as an alternative technique in language modeling This insight has been explored in the context of speech recognition

Ngày tải lên: 20/02/2014, 04:20

... ensemble learning technique for speech recognition 1 Introduction This paper examines the application of ensemble methods to hidden Markov models (HMMs) for speech recognition We consider two ... necessary to transform the target utterance into the emitted utterance for each example and then summing them for all the examples in the set 4.2 Bootstrap Estimate for Speech Recognition In order ... which allows for more detailed modelling presents an extensive array of methods for recombination during speech recognition Other recent work has focused on slightly different applications For example,

Ngày tải lên: 21/06/2014, 05:20

... acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon. Decision tree-based acoustic models for speech recognition EURASIP Journal on Audio, Speech, and Music ... freely for any purposes (see copyright notice below). For information about publishing your research in EURASIP ASMP go to http://asmp.eurasipjournals.com/authors/instructions/ For information ... methods for creating DTAMs in speech recognition have been presented in this article Techniques for training DTs as well as acoustic likelihood computation have been presented for this

Ngày tải lên: 21/06/2014, 20:20

... billions of words • The speech recognition system is often required to have a real-time or near real-time formance per-In addition to the size of the speech recognition system, the speech variabilities, ... resulting in de-terioration of performance To deal with these variabilities, stochastic probability models areused for speech recognition Formally, the ASR problem can be formulated as a special case ... emphasise the higher frequencies which tain more discriminative information for speech recognition A windowing function is then ap-plied to the pre-emphasised speech to reduce the boundary effect between

Ngày tải lên: 09/09/2015, 11:07

... investigated for robust speech recognition. In practice, many speech variabilities exist, which will lead to poor recognition performance for mismatched conditions. TVWR has not been formulated ... Regression for Cross-lingual Speech Recognition, ”... 2 Acoustic Modelling for Speech Recognition Hidden Markov Model (HMM) [2] has been widely used as acoustic model for automatic speech ... systems for English and Malay speech recognition WER(%) performance of various tandem systems with limited resources for target English and Malay speech recognition WER(%) performance

Ngày tải lên: 09/09/2015, 11:31

... recognition system for the Persian language is introduced in this paper This continuous speech recognition system uses most standard and state-of-the-art speech and language modeling techniques ... continuous speech recognition system for Persian language Hossein Sameti*, Hadi Veisi, Mohammad Bahrani, Bagher Babaali and Khosro Hosseinzadeh Abstract The first large vocabulary speech recognition ... the most applications of speech recognition, it is crucial to exploit vast information about the order of the words For this purpose, statistical and grammatical language modeling methods are common

Ngày tải lên: 20/06/2014, 22:20

... relevance values for queries composed in the previous experiment based on n p documents of downloaded text Next, we performed speech recognition experiments for each of the queries using a language model ... thousands of Web documents, and train a language model Therefore, this kind of method is not suitable for real-time speech transcription, but can be used for off-line transcription tasks such as ... cited Introduction An n-gram model is one of the most powerful language models (LM) for speech recognition and demonstrates high performance when trained using a general corpus that includes many

Ngày tải lên: 21/06/2014, 20:20

... HANOI UNIVERSITY OF TECHNOLOGY - Thesis for the degree of MASTER OF SCIENCE Modeling the prosody of Vietnamese language for speech synthesis Speciality: “Information processing and Communication” ... corpus text information 53 Table 4.3: Recording information of Prosody corpus 54 Table 5.1: Confusion matrix (in %) for 8 tones with male voice 75 Table 5.2: Confusion matrix (in %) for 8 tones ... 16 1.2 Prosody modeling 17 1.2.1 Intonation models 18 1.2.2 Duration modeling 21 1.2.3 This thesis work approach 23 2 VIETNAMESE LANGUAGE AND PROSODY 25 2.1 Vietnamese language 25 2.1.1

Ngày tải lên: 28/02/2021, 00:01

... TECIINOLOGY Thesis for the degree of MASTER OF SCTENCE Modeling the prosody of Vietnamese language for speech Trang 2 HANOI UNIVERSITY OF TECHNOLOGY Faculty of Information Technology ... Introduction Speech is the primary means of commumeation between people Speech synthesis, automatic generation of speech waveforms, has been under development for several decades Recent progress in speech ... Vietnamese language and Vietnamese prosody 2.1 2.1.1 Vietnamese language Vietnamese characteristics As we know, Vietnamese language is an amorphous language and a tonalémusival language It

Ngày tải lên: 09/06/2025, 12:31

... 1Thesis for the degree of MASTER OF SCTENCE Modeling the prosody of Vietnamese language for speech Trang 2 Faculty of Information Technology International research center of Multimedia Information, ... Castelli and Prof Pham Thi Ngoc Yén Thank you very much for orienting and guiding my research in speech processing domain Thank you for all your useful advices, your true criticisms and your ... S2 Table 4.2: Prosody corpus text information - 33 Table 5.1: Confusion matrix (in %) for 8 tones with male Voiee 73 Table 5.2: Confusion matrix (in %) for 8 tones with female voice 75 Table

Ngày tải lên: 22/06/2025, 08:01

... results in Section 6, before concluding the paper (Section 7) 2.1 Literature on Syntactic Complexity Syntactic complexity is defined as “the range of forms that surface in language production and ... of spontaneous speech in children with autism American Journal of Speech-Language Pathology, 12(3), 349-358 Cooper, T.C (1976) Measuring written syntactic pat-terns of second language learners ... (2000a) The SRI EduSpeak system: Recognition and pronunciation scoring for language learning Proceedings of InSTiLL-2000 (Intelligent Speech Technology in Language Learning), Dundee, Scotland

Ngày tải lên: 07/03/2014, 22:20

... was tested using the Sphinx 4 speech engine, an ASR written in Java that employs a Hidden Markov Model (HMM) approach for word recognition [18] The recognition rates for several tests using Sphinx ... specifically for older adults An older adult speech corpus containing emer-gency type speech in Canadian English is being developed for this purpose Once completed, this older adult speech corpus ... delay-and-sum beamforming a different delay is calcu-lated for each microphone to account for the time the ref-erence signal needs to travel from a given location to the array Delay-and-sum beamforming

Ngày tải lên: 19/06/2014, 08:20

... vocabulary continuous speech recognition using word graphs,” in Proceedings of the International Conference on Acoustics, Speech and Signal... discriminative training for speech recognition,” ... transformations for speaker adaptation,” in Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech ’03),... continuous speech recognition system for hand-held ... models. .. “Maximum mutual information estimation of hidden Markov model parameters for speech recognition,” in Proceedings of the International Conference on Acoustics, Speech and Signal Processing

Ngày tải lên: 21/06/2014, 20:20

... motor speech disorder characterized by weakness, paralysis, or poor coordination of the muscles responsible for speech. Although automatic speech recognition (ASR) systems have been developed for ... database of dysarthric speech [33], and (2) programs and training scripts that could form the founda- tion for an open-source speech recognition tool designed to be useful for dysarthric speakers. ... the Speech Research Lab [34] to develop natural sounding software for speech synthesis (ModelTalker) [35], tools for articulation training for children (STAR), and a database of dysarthric speech

Ngày tải lên: 21/06/2014, 22:20

... method was proposed for distant-talking speech recognition using a microphone array in [27] In this approach, called likelihood-maximizing beamforming, information from the speech recognition system ... performed on the speech signal for extracting feature vectors, that is, the acoustic likelihood of the speech signal is influenced by theα vector Therefore, obtaining a closed-form solution for ... presented in which the SS parameters are optimized specifically for speech recognition performance using feedback information from the speech recognition system Specifically, we showed how the SS parameters

Ngày tải lên: 21/06/2014, 22:20

... can be used in today’s demanding speech recognition... motivated MVDR-based acoustic front- end (PMVDR) for robust automatic speech recognition,” Speech Communication, vol 50, no ... warps directly from the speech signal, the difficulty of estimating the third formant reliably even for clean speech is apparent, as some speakers may not even have clear third-formant locations. Acero ... applicability and performance. Finally, a configuration for on-the-fly implementation of this built-in speaker normalization (BISN) algorithm is proposed for an in-car speech recognition task which

Ngày tải lên: 22/06/2014, 00:20

... algorithm for preprocessing speech before recognition. The algorithm mimics tone-to- tone suppression and masking in the auditory system to improve automatic speech recognition performance in ... total error. Even for the multicon- dition recognizer, companding is observed to result in sig- nificant improvements in recognition performance for most noise types. For example, for speech corrupted ... of modeling critical band response in the computation of cepstral front ends for speech recognition. Critical band response is modeled in the signal processing 2 EURASIP Journal on Audio, Speech,

Ngày tải lên: 22/06/2014, 19:20

... DARPA Speech Recognition Workshop, pp 85–89, Chantilly, Va, USA, February 1997 R Hoare, K Gupta, and J Schuster, “Speech silicon: a datadriven SoC for performing hidden Markov model based speech recognition,” ... requiring real-time recognition of conversational speech These issues combined with the desire to implement speech recognition on small, portable devices have created a strong market for hardware-based ... when it comes to the recognition of natural, irregular speech [5] To date, however, state-of-the-art recognition systems overcome some of these issues for systems with regular speech structures,

Ngày tải lên: 22/06/2014, 22:20

... model 2.1 Overview of Automatic Speech Recognition (ASR) The Automatic Speech Recognition is a system to process a speech waveform file into a language text format, by which this system converts ... following formula : kth Feature value from Mel filter bank and : number of filter banks and number of MFCC coefficients MFCCs are the waveform compression format for many speech recognition ... good discrimination and can be transformed to other forms easily However, compressing the waveform format into feature format still causes the loss of some information, and may reduce the robustness

Ngày tải lên: 13/10/2015, 15:55

... in speech and language processing such as speech recognition, text recognition, embedded platform for information retrieval, segmentation, filtering and classification of data, and emotion recognition ... the challenges in speech technology Keywords Speech recognition Speech variations Á Speech modeling Á Feature extraction techniques Introduction Speech is the way of exchanging information and views ... sparse representations for noise robust automatic speech recognition IEEE Trans Audio Speech Lang Process 19(7), 2067–2080 (2011) 18 Cheng, X., Duan, Q.: Speech emotion recognition using Gaussian

Ngày tải lên: 29/12/2020, 15:56