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Speech processing
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Investigation of effective approaches for supporting students’ linguistic and intercultural competence in the process of learning English as an international lingua franca has generally been an issue of great concern for teachers and researchers in language education. The paper finally puts forward the suggestion that short literary texts of cultures around the world might be considered as one of the meaningful inputs in B1 EFL classrooms.
10p
vialicene
02-07-2024
1
0
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Part 2 book "Advances for in vehicle and mobile systems - Challenges for international standards" includes content: Speaker source localization using audio visual data and array processing based speech enhancement for in vehicle environments; estimation ofactive speaker's direction using particle filters for in vehicle environment; noise reduction based on microphone array and post filtering for robusts peech recognition in car environments; ica based technique in air and bone conductivemicrophones for speech enhancement,... and other contents.
159p
dianmotminh03
11-06-2024
3
1
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Lecture Multimedia communication describe the theory and operation of the major technologies and equipment of relevance to the media and information industries; introduce you to the multimedia communications and its range of applications and networking infrastructures; learn about different media types (text, images, speech, audio and video) and applications (VoIP, Video on Demand, multimedia electronic mail, interactive television and others);... Please refer to the detailed content of the lecture!
298p
codabach1016
03-05-2024
1
0
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Nowadays, many applications uses speech recognition especially the field of computer science and electronics, Speech Recognition (SR) is the interpretation of words spoken into a text. It is also known as Speech-To-Text (STT) or Automatic-Speech-Recognition(ASR), or just Word-Recognition(WR). The HiddenMarkov-Model (HMM) is a type of Markov model, which means that the future state of the model depends on the current state, not on the entire history of the system and the goal of HMM is to learn a sequence of hidden states from a set of known states.
5p
viritesh
02-04-2024
4
1
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This paper is structured as follows: literature reviews part, which discusses different methods and frameworks in recent research related to Khmer word segmentation and POS tagging, Bidirectional long short-term memory section, which describes the experiment of this study and result, and finally is future work section.
12p
vibego
02-02-2024
4
0
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Continued part 1, part 2 of ebook "Relational frame theory: A post-skinnerian account of human language and cognition" provides readers with contents including: extensions and applications; psychological development; education; social processes; psychopathology and psychotherapy; religion, spirituality, and transcendence;...
119p
tuongnhuoclan
27-11-2023
3
3
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Ebook "Pattern recognition in speech and language processing" includes content: Minimum classification error (MCE) approach in pattern recognition; minimum bayes risk methods in automatic speech recognition, a decision theoretic formulation for robust automatic speech recognition, speech pattern recognition using neural networks,... and other contents.
385p
haojiubujain07
20-09-2023
7
3
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The conceptual metaphor, LOVE IS A JOURNEY, has been identified as a process of mapping based on the Conceptual Metaphor Theory (CMT) proposed by Lakoff and Johnson (1980). However, Ahrens (2002) pointed out several problems that the CMT may encounter, especially in setting parameters to be experimentally tested.
14p
viberkshire
09-08-2023
8
5
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This paper presents the first challenge on recognizing textual entailment (RTE), also known as natural language inference (NLI), held in a Vietnamese Language and Speech Processing workshop (VLSP 2021). The challenge aims to determine, for a given pair of sentences, whether the two sentences semantically agree, disagree, or are neutral/irrelevant to each other.
10p
viberkshire
09-08-2023
5
3
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This study presents our approach on the automatic Vietnamese image captioning for healthcare domain in text processing tasks of Vietnamese Language and Speech Processing (VLSP) Challenge 2021, as shown in Figure 1. In recent years, image captioning often employs a convolutional neural network-based architecture as an encoder and a long short-term memory (LSTM) as a decoder to generate sentences.
8p
viberkshire
09-08-2023
6
3
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Based on the motivation behind these achievements, this paper describes our approach based on fine-tuning pretrained multilingual language models (XLM-R, InfoXLM) to tackle the shared task “Vietnamese and English Vietnamese Textual Entailment” at the 8th International Workshop on Vietnamese Language and Speech Processing (VLSP 20211).
9p
viberkshire
09-08-2023
8
5
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The VLSP 2021 is the eighth annual international workshop whose campaign was organized at the University of Information Technology, Vietnam National University, Ho Chi Minh City (UIT-VNU-HCM). This was the first time we organized the Speaker Verification shared task with two subtasks SV-T1 and SV-T2. SV-T1 focuses on the development of SV models with limited data, and SV-T2 focuses on testing the capability and the robustness of SV systems.
8p
viberkshire
09-08-2023
8
5
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This paper presents the Smartcall - ITS’s systems submitted to the Vietnamese Language and Speech Processing, Speaker Verification (SV) task. The challenge consists of two tasks focusing on the development of SV models with limited data and testing the robustness of SV systems.
5p
viberkshire
09-08-2023
8
5
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This paper presents VieCap4H, a grand data challenge on automatic image caption generation for the healthcare domain in Vietnamese. VieCap4H is held as part of the eighth annual workshop on Vietnamese Language and Speech Processing (VLSP 2021).
9p
viberkshire
09-08-2023
9
6
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In this paper, we describe our approach to tackle this problem: we first preprocess the training data then use it to train a FastSpeech2 acoustic model with some replacements in the external aligner model, finally we use HiFiGAN vocoder to construct the waveform.
7p
viberkshire
09-08-2023
5
5
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In this paper, we propose an approach that preprocesses noisy found data on the Internet and trains a high-quality TTS model on the processed data. The VLSP-provided training data was thoroughly preprocessed using 1) voice activity detection, 2) automatic speech recognition-based prosodic punctuation insertion, and 3) Spleeter, source separation tool, for separating voice from background music.
7p
viberkshire
09-08-2023
5
5
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This paper presents a Vietnamese automatic speech recognition challenge for the eighth annual workshop on Vietnamese Language and Speech Processing (VLSP 2021). There are two sub-tasks in the challenge.
9p
viberkshire
09-08-2023
13
5
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The objective of this study is to characterize the dynamic structure of primary care consultations by identifying typical activities and their inter-relationships to inform the design of automated approaches to clinical documentation using natural language processing and summarization methods.
9p
visteverogers
24-06-2023
5
2
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The study sought to review recent literature regarding use of speech recognition (SR) technology for clinical documentation and to understand the impact of SR on document accuracy, provider efficiency, institutional cost, and more.
15p
visteverogers
24-06-2023
6
2
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In recent years numerous studies have achieved promising results in Alzheimer’s Disease (AD) detection using automatic language processing. We systematically review these articles to understand the effectiveness of this approach, identify any issues and report the main findings that can guide further research.
14p
vighostrider
25-05-2023
2
2
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