automatic speech recognition systems list

... research@vais.vn ICTLab, USTH, Vietnam Abstract Automatic Speech Recognition (ASR) systems convert human speech into corresponding transcription automatically They have a wide range of applications ... than 10 hours of speech collected real environments, the system also performs well with 11% WER Keywords ASR; Automatic speech recognition; Vietnamese corpora; Vietnamese Speech recognition INTRODUCTION ... AND LARGE-SCALE VIETNAMESE AUTOMATIC SPEECH RECOGNITION SYSTEMS QUOC TRUONG DO1 , PHAM NGOC PHUONG1 , HOANG TUNG TRAN , CHI MAI LUONG1 Vietnamese Artificial Intelligent Systems; research@vais.vn

Ngày tải lên: 11/01/2020, 19:43

... Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of the muscles responsible for speech. Although automatic speech recognition (ASR) systems have been ... outperformed the recognition of human listeners. In [10], the performance of HMM-based speaker-dependent (SD) and speaker-independent (SI) systems on dysarthric speech was evaluated. SI systems are ... Parker, Automatic speech recognition with sparse training data for dysarthric speakers,” in Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech

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 ... the original work is properly cited. 1. INTRODUCTION Current speaker-independent automatic speech recognition (ASR) systems perform well in most of the real-world appli- cations but the performance ... on Audio, Speech, and Music Processing Volume 2008, Article ID 148967, 13 pages doi:10.1155/2008/148967 Research Article Towards an Intelligent Acoustic Front End for Automatic Speech Recognition:

Ngày tải lên: 22/06/2014, 00:20

... on speech recognition tasks in noise is extraordinary compared to state-of-the-art auto- matic speech recognition (ASR) systems [1]. One explana- tion is that the brain has amazing pattern recognition ... of deriving “feature representa- tions” for automatic speech recognition systems. While these models were found to perform comparably with a speech- recognition system implemented with conventional ... rience that the recognition performance obtained on noisy speech with systems that have been trained on noisy speech is generally better than that obtained on denoised noisy speech using systems that

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 ... Figure 1.  Schematic of speech segmentations in automatic speech recognition (ASR) system and brain Segmenting continuous speech into short frames is the first step in the speech recognition process ... from speech but also provides greater robustness in a recognition test Segmenting continuous speech into short frames is the first step in the feature extraction process of an automatic speech recognition

Ngày tải lên: 19/11/2022, 11:40

... with audio-based speech recognition systems However, when those functionalities are used in real environments, the speech signal can become corrupted, negatively influencing speech recognition accuracy ... researches have reported increased performance of multimodal systems when operating in noise compared to uni-modal acoustic speech recognition systems (Chibelushi et al 1996), Kashiwagi et al (2012), ... continuous speech is favorable when testing speech recognition algorithms, while speaker verification can be done with separated words Ideally, a corpus should contain both above types of speech

Ngày tải lên: 19/11/2022, 11:46

... Audio and Speech Processing with MATLAB Automatic Speech Recognition: ASR 8.1 Speech Recognition: History Nhận dạng giọng nói có lịch sử lâu đời ... với đồ chơi Do đó, nói "Rex", kết nối bị đứt, nam châm điện tắt lò xo đẩy chó khỏi cũi 8.1.2 Speech Recognition: History: 1952 Bell Labs Digits Bộ nhận dạng chữ số đơn lẻ phát triển Bell Labs ... đối thoại + Thay đổi thời gian thay đổi người đối thoại môi trường khác + Formal/casual speech - Loud/quiet speech - Between speaker variability: + Trọng âm + Giới tính + Phong cách nhạc - Hiệu

Ngày tải lên: 26/02/2023, 21:12

... APPENDIX J 114 vii LIST OF ABBREVIATIONS A(B) Attitude towards a Behavior AI Artificial Intelligence A(O) Attitude towards an Object ASR Automatic Speech Recognition CALL Computer Assisted ... OF ORIGINALITY I hereby certify that this thesis entitled “THE APPLICAFTION OF AUTOMATIC SPEECH STUDENTS‟ NEW WORD RECOGNITION TO PRONUNCIATION” Submitted in terms of Statements of Requirements ... RETENTION OF USE iii TABLE OF CONTENTS iv LIST OF ABBREVIATIONS viii LIST OF TABLES ix LIST OF FIGURES x ABSTRACT xi CHAPTER

Ngày tải lên: 29/06/2023, 23:10

... lieu Luan van Luan an Do an LIST OF ABBREVIATIONS A(B) Attitude towards a Behavior AI Artificial Intelligence A(O) Attitude towards an Object ASR Automatic Speech Recognition CALL Computer Assisted ... OF ORIGINALITY I hereby certify that this thesis entitled “THE APPLICAFTION OF AUTOMATIC SPEECH STUDENTS‟ NEW WORD RECOGNITION TO PRONUNCIATION” Submitted in terms of Statements of Requirements ... RETENTION OF USE iii TABLE OF CONTENTS iv LIST OF ABBREVIATIONS viii LIST OF TABLES ix LIST OF FIGURES x ABSTRACT xi CHAPTER

Ngày tải lên: 22/08/2023, 02:40

... first phase focuses on demonstrating the possibility of using automatic speech recognition (ASR) with a microphone array and speech recognition software Journal of NeuroEngineering and Rehabilitation ... distant-talking speech recognition Computer Speech and Language 2002, 16:205-223 Brandstein M, Ward D: Microphone Arrays New York: Springer; 2001 The CMU Audio Databases [http://www .speech. cs.cmu.edu/ ... Rehabilitation Open Access Methodology Development of an automated speech recognition interface for personal emergency response systems Melinda Hamill 1 , Vicky Young 2 , Jennifer Boger 2 and

Ngày tải lên: 19/06/2014, 08:20

... 9: False recognition probability versus SNR (a) Inter-class recognition (Case I) (b) Inter-class recognition (Case II) (c) Intraclass PSK recognition (d) Intra-class FSK recognition recognition ... Inter-class recognition Full-class recognition Intra-class FSK recognition Intra-class QAM recognition Figure 10: False recognition probability versus number of symbols (inter-class recognition, ... the SNRmin for inter-class recognition (Case I) is dB, for inter-class recognition (Case II) is −2 dB, for intra-class PSK recognition is dB, and for intra-class FSK recognition is dB Generally

Ngày tải lên: 21/06/2014, 16:20

... Using Recognition Likelihood We examined a simple way of determining whether or not the iteration improves the recognition performance using recognition likelihood This method monitors the recognition ... Conference on Speech Communication and Technology (Eurospeech ’05), pp 1293–1296, Lisbon, Portugal, September 2005 [12] Y Ariki, T Shigemori, T Kaneko, J Ogata, and M Fujimoto, “Live speech recognition ... documents 5000 With misrecognition Without misrecognition Figure 4: Word accuracy improvement for queries with or without misrecognized words 6 EURASIP Journal on Audio, Speech, and Music Processing

Ngày tải lên: 21/06/2014, 20:20

... In the realm of speech recognition, considerable advancements have been made in develop-ing systems that can accurately convert spoken language into text Systems like Google’s speech- to-text API ... envi-ronments 2 Speech Recognition - Advances in deep neural networks have significantly improved speech recognition accuracy - Challenges remain with accents, dialects, and real-time speech processing ... and speech recognition systems Given these challenges, there is a pressing need for a robust, adaptable, and cost-effective solution that can enhance sound direction determination and speech recognition

Ngày tải lên: 08/10/2024, 02:15

... literature and contributed considerably to fulfilling the human speech recognition needs. Up until recent years, speech recognition systems were con- sideredasluxurytoolsorservicesandwerenotusually ... knowledge source besides the statistical lan- guage models in speech recognition systems. In Nevisa, as in the most of the developed speech recognition sys- tems, the output is a set of n-best hypotheses ... method for hmm-based persian continuous speech recognition. .. statistical language models for persian continuous speech recognition systems using the peykare corpus Intern J Comp

Ngày tải lên: 20/06/2014, 22:20

... European Conference on Speech. .. Bourlard, “Developing and enhancing posterior based speech recognition systems, ” in Proceedings of the 9th European Conference on Speech Communication ... Automatic Speech Recognition and Understanding Workshop... Department and Darwin College, 2008 [13] C Meyer and H Schramm, “Boosting HMM acoustic models in large vocabulary speech recognition, ” ... However, the phoneme mixtures can also be combined into a speech recognition mixture. Thus, we can still employ ensemble methods for the full speech recognition problem by training with segmented data

Ngày tải lên: 21/06/2014, 05:20

... analysis of the speech signal in different linguistic and phonetic contexts, our analysis starts with the automatic phonetic segmentation of each sen- tence using automatic speech recognition based ... signal processing communities to promote research on applying standard Automatic Speech Recognition (ASR) techniques for the automatic diagnosis of patients with severe obstructive sleep apnoea ... advantages that standard automatic speech recognition can bring to diagnosis and monitoring. Next, in Section 6, we describe how we used GMMs to study nasalization in speech, comparing the voices

Ngày tải lên: 21/06/2014, 20:20

... accurate pitch estimate, and have shown to be beneficial for speech enhancement, speech recognition, speaker recognition, and monaural speech separation When applying the FrFT, the determination ... [23, 25–28], pitch estimation [4, 29], speech enhancement [30, 31], speech recognition [32], speaker recognition [33], and speech separation [34] These methods basically can give higher time-frequency ... including human speech Research on the application of FrFT or similar transforms to speech signal processing mainly focuses on speech analysis [23, 25–28], pitch estimation [4, 29], speech enhancement

Ngày tải lên: 21/06/2014, 20:20

... vocabulary continuous speech recognition using word graphs,” in Proceedings of the International Conference on Acoustics, Speech and Signal... discriminative training for speech recognition, ” ... on Speech Communication and Technology (Eurospeech ’03),... continuous speech recognition system for hand-held devices,” in Proceedings of the International Conference on Acoustics, Speech ... 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,

Ngày tải lên: 21/06/2014, 20:20

... questions... probability modeling for HMM speech recognition Ph.D thesis, Brown University, Providence, USA, 1993 [3] R Teunen, M Akamine, HMM-based speech recognition using decision trees instead ... Proceedings of Interspeech, September 2008, pp 289–292, Brisbane, Australia [5] J Ajmera, M Akamine, Speech recognition using soft decision trees, in Proceedings of Interspeech, September 2008, ... versions will be made available soon. Decision tree-based acoustic models for speech recognition EURASIP Journal on Audio, Speech, and Music Processing 2012, 2012:10 doi:10.1186/1687-4722-2012-10

Ngày tải lên: 21/06/2014, 20:20

... human listeners. SS techniques usually improve the quality and intelligibility of speech signal while speech recognition systems need compensation techniques to reduce mismatch between noisy speech ... noisy speech. SS divides the speech utterance into speech and nonspeech regions. It first estimates the noise spectrum from nonspeech regions and then subtracts the estimated noise from the noisy speech ... robust speech recognition, ” in Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH ’01), pp... methods for hidden Markov model speech recognition

Ngày tải lên: 21/06/2014, 22:20