a decision theoretic formulation for robust automatic speech recognition

Robust automatic speech recognition

Robust automatic speech recognition

... log-Mel-filter-bank domain The clean speech has a mean value of 25 and a standard deviation of 10 The noise has a mean of 10 Percentage of saturated activations at each layer on a 6×2k DNN Average and maximum ... Robust Automatic Speech Recognition A Bridge to Practical Applications Robust Automatic Speech Recognition A Bridge to Practical Applications Jinyu Li Li Deng Reinhold Haeb-Umbach Yifan Gong ... source separation, as well as automatic speech recognition After having worked in industrial research laboratories for more than 10 years, he joined academia as a full professor of Communications

Ngày tải lên: 14/05/2018, 12:34

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An audio visual corpus for multimodal automatic speech recognition

An audio visual corpus for multimodal automatic speech recognition

... becausethese corpora contain different material (also recorded in national language), a variety ofaudio-visual features and algorithms employed The multimodal database presented in this paper aims ... microphone array (containing 8 microphones) and a camera array composed of 4 cameras The microphone array was used in order to allow the study of beamformingtechniques, while the camera array enables ... scanner face data, that can be used tomodel speakers’ faces accurately The speech data includes 15 French sentences taken fromaround 300 participating speakers Many visual variations (head pose,

Ngày tải lên: 19/11/2022, 11:46

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Brain inspired speech segmentation for automatic speech recognition using the speech envelope as a temporal reference

Brain inspired speech segmentation for automatic speech recognition using the speech envelope as a temporal reference

... in automatic speech recognition because additional speech analyses are performed for each framed speech segment Conventional segmentation techniques primarily segment speech using a fixed frame ... primary and secondary frequency bands that extract as much information as possible from each speech sample Theta (4~10 Hz) as the primary frequency band oscillation and low gamma (25~35 Hz) as ... is appealing as a new feature that can add complementary information with the spectral analysis In the ASR field, however, only a few attempts have been made using the speech envelope as a new

Ngày tải lên: 19/11/2022, 11:40

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A decision making tool for the striking of formwork to GGBS concretes

A decision making tool for the striking of formwork to GGBS concretes

... Davis, Group Technical Manager, for very kindly offering the services and facilities at Clonee for the duration of the work To Paul O’Hanlon, Area Technical Manager, for assisting with all matters ... 28 and 56 days A suite of standard cubes can be found in Figure 3.2 The test days of interest for striking a slab are 2, 3, and 4 The test day ages of 7 and 28 are standard test day ages and ... put forward by Carino (1991) and Hansen & Pedersen (1997) are based on oCh and maybe applicable to GGBS concretes Trang 27Chapter Two Literature Review Weaver and Sadgrove (1971) put forward

Ngày tải lên: 03/11/2019, 10:12

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A decision support system for farm regional planning

A decision support system for farm regional planning

... secondary data) that will feed its Data Base Macro economic data concerning the primary agricultural sector are the following: Land: area according to its category (cultivated area, grassland, forest, ... tractor, harvesting machinery and variable capital whereas their total variable cost is automatically subtracted from the optimum production plan’s total gross profit The model formulation allows ... situation and achieve optimal and alternative production plans The following selections are available: a) «Land of crop enterprises» b) «Livestock capital» c) «Available machinery» d) «Available

Ngày tải lên: 05/02/2020, 03:10

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A decision support system for regular undergraduate educational systmes

A decision support system for regular undergraduate educational systmes

... In addition, a large amount of educational data can be gathered and archived along the time Valuable information and knowledge can be discovered if we process such an amount of data appropriately ... follows: - Educational data management is provided for educational data analysis and mining so that decision making support can be advanced - Information and knowledge can be derived and discovered ... effectively and efficiently for educational problems that need decision making support - Utilities for educational decision making support via a Web-based user interface are available for users Trang

Ngày tải lên: 23/01/2021, 11:05

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A decision support system for primary headache developed through machine learning

A decision support system for primary headache developed through machine learning

... PCC, Random Forest có nhiều khả năng khaithác được mối tương quan sâu sắc của các thuộc tính hơn Trang 16CHAPTER 3: KẾT QUẢ NGHIÊN CỨU 3.1 Đặc điểm cơ bản của bệnh nhân(Patient baseline characteristics)Trong ... hiệu của hệ thống này để chẩn đoánchứng đau đầu đã được ghi nhận (Xiangyong, 2019) Xem xét các quy tắc ngôn ngữkhông hoàn chỉnh khi các chuyên gia chia sẻ kiến thức của họ, Khayamnia et al Trang ... loại đau đầu nguyên phát Chứng đau nửa đầu bao gồm chứng đau nửađầu có tiền triệu chứng và chứng đau nửa đầu không có tiền triệu chứng Chứng đaunửa đầu không có tiền triệu chứng thường là đau đầu

Ngày tải lên: 05/02/2023, 14:55

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The application of automatic speech recognition to students new word pronunciation m a

The application of automatic speech recognition to students new word pronunciation m a

... 9LIST OF ABBREVIATIONS A(B) Attitude towards a Behavior AI Artificial Intelligence A(O) Attitude towards an Object ASR Automatic Speech Recognition CALL Computer Assisted Language Learning CAPT Computer ... states that there are two kinds of attitude: Trang 27Attitude towards an Object A (O) and Attitude towards a Behavior A (B) (Yang & Yoo 2004; Zhang et al, 2008; Zhang & Sun, 2009) A(B) ... giving automatic feedback appears to be useful as automatic feedback at early time may help learners prevent fossilizing wrong pronunciation habits (Eskenazi, 1999) Consequently, applications and

Ngày tải lên: 29/06/2023, 23:10

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The application of automatic speech recognition to students new word pronunciation m a

The application of automatic speech recognition to students new word pronunciation m a

... APPENDIX H 110 APPENDIX I 113 APPENDIX J 114 Trang 9LIST OF ABBREVIATIONS A(B) Attitude towards a Behavior AI Artificial Intelligence A(O) Attitude towards an Object ASR Automatic Speech Recognition ... criteria: manner of articulation, and voicing Finally, the researcher also collected and analyzed data on participants‟ attitudes towards the use of ASR (ELSA Speak) for future application ... describes language anxiety as “the worry and usually negative emotional reaction aroused when learning or using an L2” High language anxiety is likely to have a negative impact on learners‟ performance

Ngày tải lên: 22/08/2023, 02:40

129 0 0
Project name build a decision tree model for customer churn , decision tree Đã Được sử dụng làm mô hình chính Để dự Đoán tỉ lệ rời bỏ của khách hàng

Project name build a decision tree model for customer churn , decision tree Đã Được sử dụng làm mô hình chính Để dự Đoán tỉ lệ rời bỏ của khách hàng

... 2.1 Hardware • Processor: Intel Core i5/i7 or equivalent • RAM: 8 GB or higher • Storage: SSD recommended for faster data processing • Mouse • Keyboard 2.2 Software • Programming Language: ... Trang 1PROJECT NAME: Build A Decision Tree Model For Customer Churn Developed by: Team members: • Nguyen Hoang Nguyen Khoi • Nguyen Hoang Phu • Le Duc Loi • Nguyen Dao Minh Khoa Tran ... Jupyter Notebook, PyCharm, or VS Code • Libraries - NumPy, pandas, matplotlib, sklearn, pickle, imblearn Trang 74 PHẦN 3: MÔ HÌNH HỌC MÁY 3.1 Lựa chọn mô hình Việc lựa chọn mô hình cho dự án

Ngày tải lên: 11/03/2025, 14:22

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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc

Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc

... N_JH_AA_N N_JH_AA N_JH N 6 N_JH_AA_N_IY IY N AA_N AA AA_N_IY JH_AA_N JH_AA JH JH_AA_N_IY Figure 3: FSM representing all segmentations for the word ANJANI with pronunciation: AA,N,JH,AA,N,IY Algorithm ... Bhuvana Ramab-hadran 2009a A new method for OOV detection using hybrid word/fragment system Proceedings of ICASSP. Ariya Rastrow, Abhinav Sethy, Bhuvana Ramabhadran, and Fred Jelinek 2009b Towards ... Philadelphia. James Glass, Timothy Hazen, Lee Hetherington, and Chao Wang 2010 Analysis and processing of lec-ture audio data: Preliminary investigations In North American Chapter of the Association

Ngày tải lên: 20/02/2014, 04:20

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Tài liệu Báo cáo khoa học: "AUTOMATIC SPEECH RECOGNITION AND ITS APPLICATION TO INFORMATION EXTRACTION" pdf

Tài liệu Báo cáo khoa học: "AUTOMATIC SPEECH RECOGNITION AND ITS APPLICATION TO INFORMATION EXTRACTION" pdf

... German and Servocroatian public newscasts are recorded daily. The newscasts are automatically segmented and an index is created for each of the segments by means of automatic speech recognition. ... at AT&T Labs SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system developed at AT&T Labs integrating speaker-independent, large-vocabulary speech recognition ... System (ATIS) task were actively investigated. More recent DARPA programs are the broadcast news dictation and natural conversational speech recognition using Switchboard and Call Home tasks.

Ngày tải lên: 20/02/2014, 18:20

10 515 3
Báo cáo hóa học: " Robust Distant Speech Recognition by Combining Multiple Microphone-Array Processing with Position-Dependent CMN" ppt

Báo cáo hóa học: " Robust Distant Speech Recognition by Combining Multiple Microphone-Array Processing with Position-Dependent CMN" ppt

... International Conference on Acoustics, Speech, and Signal Processing (ICASSP ’96), vol 2, pp 921–924, At-lanta, Ga, USA, May 1996 [12] L Wang, N Kitaoka, and S Nakagawa, “Robust distant speech recognition ... normalization for robust speech recognition,” in Proceedings of the ARPA Speech and Natural Language Workshop, pp 69–74, Princeton, NJ, USA, March 1993 [8] N Kitaoka, I Akahori, and S Nakagawa, “Speech ... CMN) Area 5 is in the center of all 12 areas, and “CM of area 5” means that a fixed cepstral mean (CM) in the central area was used to compensate for the input features of all 12 areas PICMN means

Ngày tải lên: 22/06/2014, 23:20

11 184 0
Modeling of non native speech automatic speech recognition

Modeling of non native speech automatic speech recognition

... is a weighting of the original model training data to the adaptation data, likelihood of the adaptation data If there was insufficient adaptation data for a phone to reliably estimate a sample ... referred as Bayesian adaptation MLLR is an example of what is called transformation based adaptation, the parameters in a certain group of component model are transferred together with a single transform ... transform matrix In contrast to MLLR, MAP re-estimate the model parameters individually Sample mean values are calculated for the adaptation data An updated mean is then formed by shifting each

Ngày tải lên: 13/10/2015, 15:55

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A feature based model for nested named entity recognition at VLSP - 2018 ner evaluation campaign

A feature based model for nested named entity recognition at VLSP - 2018 ner evaluation campaign

... all digits all characters are neither alphabet characters nor digits contains at least one upper-case character contains at least one lower-case character contains at least one alphabet character ... and comma contains digits and period contains an upper-case character followed by a period first character is upper-case all characters of the token are upper-case all characters are lower-case ... CAMPAIGN PHAM QUANG NHAT MINH Alt Vietnam Co., Ltd Hanoi, Vietnam pham.minh@alt.ai Abstract In this paper, we describe our named-entity recognition system at VLSP 2018 evaluation campaign We formalized

Ngày tải lên: 11/01/2020, 00:41

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Development of high performance and large scale Vietnamese automatic speech recognition systems

Development of high performance and large scale Vietnamese automatic speech recognition systems

... our ASR development that can take the most advantages of the collected large-scale data to train a model that is highly optimized for Vietnamese and is also robust to all major accents of Vietnam ... a large amount of data in a short period of time and also maintains the c Trang 2phonetic balance property The total amount of data is 1200 hours with large variations of speakers and speaking ... SRILM language modeling [13], a 3-gram LM pruned with probability 10−8 for decoding purposes, and a full 4-gram model for rescoring in a second pass All available textual training data was used for

Ngày tải lên: 11/01/2020, 19:43

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Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition

Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition

... general and less formal arguments that models that create a single hard or soft partitioning of the input space and use separately parameterized simple models for each region are doomed to have ... only a comparatively small num-ber of factors that cause these variations Although it remains to be seen to what extent these arguments about architectural depth and local generalization apply ... recognition accuracy on our task A natural question to ask is whether the gain was obtained at a significantly higher computational cost for training and decoding Trang 10TABLE VIIS UMMARY OF T RAINING

Ngày tải lên: 03/01/2023, 13:17

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Automatic speech recognition asr

Automatic speech recognition asr

... Trang 1Audio and Speech Processing with MATLAB Trang 2Automatic Speech Recognition: ASR8.1 Speech Recognition: History Nhận dạng giọng nói đã có lịch sử lâu đời trong hơn 100 năm qua Tuy ... bị giới hạn Trang 9Một hệ thống ASR phải có khả năng tính đến những điều sau:- Timing variation: + Thay đổi thời gian thay đổi giữa người đối thoại + Thay đổi thời gian thay đổi giữa cùng một người ... Dynamic time warp + Hidden Markov Models (HMM) + Language models + Integration with Deep Neural Network Methods Trang 88.2 ASR-Problem Formulation Nhận dạng giọng nói tự động đặt ra một số vấn

Ngày tải lên: 26/02/2023, 21:12

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Báo cáo hóa học: " Research Article An FFT-Based Companding Front End for Noise-Robust Automatic Speech Recognition" docx

Báo cáo hóa học: " Research Article An FFT-Based Companding Front End for Noise-Robust Automatic Speech Recognition" docx

... implementation in [23] models additional details such as an analog filterbank based on critical-band analysis Such an implementation, while suitable for implementation in low-power analog VLSI ... the training data are similar to the test data, a more realistic situation for most applications They also often suffer the drawback that while they may result in significant improvements on speech ... is an FFT-based adaptation intended to be more efficient and amenable to incorporation in an automatic speech recognition system than the original algorithm The most effective FFT-based implementation...

Ngày tải lên: 22/06/2014, 19:20

13 305 0
techniques  for  noise  robustness  in  automatic  speech  recognition

techniques for noise robustness in automatic speech recognition

... Computational Auditory Scene Analysis and Automatic Speech Recognition Arun Narayanan, DeLiang Wang 433 Introduction Auditory Scene Analysis Computational Auditory Scene Analysis 16.3.1 Ideal Binary ... recognition as well 2.2 Speech Recognition Viewed as Bayes Classification At their core, state-of-art ASR systems are fundamentally Bayesian classifiers The Bayesian classification paradigm follows a rather ... such an order that variables required on the right-hand side of the equation above are available when assigning a value for the left-hand side The calculation of the backward variable in Equation...

Ngày tải lên: 03/05/2014, 20:50

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