improving automatic speech recognition for lectures

... 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

... on Audio, Speech, and Music ProcessingVolume 2008, Article ID 148967, 13 pages doi:10.1155/2008/148967 Research Article Towards an Intelligent Acoustic Front End for Automatic Speech Recognition: ... May 2008 Recommended by Sen M Kuo A proven method for achieving effective automatic speech recognition (ASR) due to speaker differences is to perform acoustic feature speaker normalization More ... properly cited Current speaker-independent automatic speech recognition (ASR) systems perform well in most of the real-world appli-cations but the performance gap between speaker-dependent and

Ngày tải lên: 22/06/2014, 00:20

... companding 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 ... properly cited 1 INTRODUCTION The performance of humans on speech recognition tasks in noise is extraordinary compared to state-of-the-art auto-matic speech recognition (ASR) systems [1] One explana-tion

Ngày tải lên: 22/06/2014, 19:20

... Brain-inspired speech segmentation for automatic speech recognition using the speech envelope as a temporal reference Byeongwook Lee & Kwang-Hyun Cho Speech segmentation is a crucial step in automatic speech ... provides excellent speech recognition performance with clean speech, recognition performance rapidly degrades when noise corrupts speech Degradation of the recognition performance is primarily ... speech recognition because additional speech analyses are performed for each framed speech segment Conventional segmentation techniques primarily segment speech using a fixed frame size for computational

Ngày tải lên: 19/11/2022, 11:40

... value for every spoken sentence according to formula (5) and average SNR value for considered speaker according on the basis of formula (6) These calculations were performed for all speakers and for ... vocabulary allows for research in recognition of isolated commands and continuous speech Biswas et al., successfully utilized the data from the AVICAR corpus in the audio-visual speech recognition ... effectiveness of algorithms for automatic speech recognition in noisy conditions The SNR indicator is defined as the relation of signal power to noise power as expressed in the general form by (1):  

Ngày tải lên: 19/11/2022, 11:46

... 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

... system also performs well with 11% WER. Keywords.ASR; Automatic speech recognition; Vietnamese corpora; Vietnamese Speech recogni-tion. 1 INTRODUCTION The researches on automatic speech recognition ... standard for speech recognition tasks, pitch is a particularly important feature for tonal languages, such as Vietnamese and Chinese The i-vector was initially introduced for speaker recognition ... research@vais.vn 2 ICTLab, USTH, Vietnam  Abstract.Automatic Speech Recognition (ASR) systems convert human speech into corresponding transcription automatically They have a wide range of applications

Ngày tải lên: 11/01/2020, 19:43

... (i) for 2 Trang 4each task, improvements in speech recognition techniques through years have yielded material performance gains for a given problem; (ii) in the same year, the performance for ... "Automated Speech Recognition for Captioned Telephone Conversations" (2017) Faculty Works 26. https://commons.clarku.edu/facultyworks/26 Trang 2Automated Speech Recognition for Captioned ... Parlikar PhD Cobalt Speech and Language, alok@cobaltspeech.com Andrew Fletcher PhD Cobalt Speech and Language, andrew@cobaltspeech.com Jangwon Kim PhD Canary Speech, LLC, jangwon@canaryspeech.com This

Ngày tải lên: 24/10/2022, 23:21

... attitudes towards the use of automatic speech recognition (ELSA Speak) in their pronunciation learning? Sub-questions: - What is students’ emotion of automatic speech recognition (ELSA Speak) in ... the definition of ASR and its application were mentioned 2.2.2 Automatic speech recognition (ASR) The notion of ASR (or speech recognition) may be originated from the invention of the telephone ... certify that this thesis entitled “THE APPLICAFTION OF AUTOMATIC SPEECH RECOGNITION TO Submitted in terms of Statements of Requirements for Theses in Master‟s Programmes issued by the Higher

Ngày tải lên: 29/06/2023, 23:10

... attitudes towards the use of automatic speech recognition (ELSA Speak) in their pronunciation learning? Sub-questions: - What is students’ emotion of automatic speech recognition (ELSA Speak) in ... the definition of ASR and its application were mentioned 2.2.2 Automatic speech recognition (ASR) The notion of ASR (or speech recognition) may be originated from the invention of the telephone ... certify that this thesis entitled “THE APPLICAFTION OF AUTOMATIC SPEECH RECOGNITION TO Submitted in terms of Statements of Requirements for Theses in Master‟s Programmes issued by the Higher

Ngày tải lên: 22/08/2023, 02:40

... models (LM) for speech recognition and demonstrates high performance when trained using a general corpus that includes many topics However, it is well known that an ngram model specialized for a specific ... measured query 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 ... validation for each document Note that the cross validation was performed on the test set; therefore, this result is the “ideal” result The estimated values of Qth were 0.09 for document ID 8, 0.14 for

Ngày tải lên: 21/06/2014, 20:20

... 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 ... and efficiency of PERSs for older adults during an emergency situation In particular, this first phase focuses on demonstrating the possibility of using automatic speech recognition (ASR) with ... This is beneficial for testing different dialogs easily and allows for seamless customization of the system: a dialog for a user in a nursing home (who might want to be prompted for the nursing

Ngày tải lên: 19/06/2014, 08:20

... 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 ... Introduction Since the start of developing speech recognizers at AT&T Bell labs in the 1950’s, enormous efforts and investments were directed towards automatic speech recognition (ASR) research and development ... presented Our developed large vocabulary continues speech recognition system for Persian, called Nevisa, was first introduced in [6,7] as Sharif speech recognition sys-tem It employs the cepstral coefficients

Ngày tải lên: 20/06/2014, 22:20

... 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 ... methods for recombination during speech recognition Other recent work has focused on slightly different applications For example, a boosting which utilised an ensemble of Gaussian mixture models for

Ngày tải lên: 21/06/2014, 05:20

... October 2009 Recommended by Joe Picone Speech recognition applications are known to require a significant amount of resources However, embedded speech recognition only authorizes few KB of memory, ... Starting from a classical HMM-based model for speech, we study how the number of Gaussians impacts the system performance A first set of experiments is performed on the clean corpus BDSON.Table ... allows to adapt globally the state-independent GMM for a given state, using a unique and simple transformation This transformation (which is common for both the mean and the variance) is a linear

Ngày tải lên: 21/06/2014, 20:20

... acceptance Fully formattedPDF 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 ... distributed 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 ... properly cited. Trang 2Decision tree-based acoustic models for speech recognition Masami Akamine*1 and Jitendra Ajmera2 Trang 3Keywords: speech recognition; acoustic modeling; decision trees; probability

Ngày tải lên: 21/06/2014, 20:20

... 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

... 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,” ... Workshop on Automatic Speech Recognition and Understanding (ASRU ’03), pp 303–308, St Thomas, Virgin Islands, USA, November-December 2003 [18] M Ravishankar, Efficient algorithms for speech recognition, ... 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

... Classification Criteria for NNs in Automatic Speech Recognition,” in Proceedings of Interspeech, pp 441-444 (oral presentation), Florence, Italy, 28-31 August, 2011 Trang 23Speech has been used ... 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

Ngày tải lên: 09/09/2015, 11:07

... 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 ... for Noise Robust Speech Recognition, ” published in Interspeech 2013 6 Shilin Liu, Khe Chai Sim “Parameter Clustering for Temporally Varying Weight Regression for Automatic Speech ... 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

Ngày tải lên: 09/09/2015, 11:31