Speech and Computer

Table of Contents

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   Book Overview
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   Chapter 1 Analysing Breathing Patterns in Reading and Spontaneous Speech
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   Chapter 2 Audio-Visual Speaker Verification via Joint Cross-Attention
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   Chapter 3 A Novel Scheme to Classify Read and Spontaneous Speech
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   Chapter 4 Analysis of a Hinglish ASR System’s Performance for Fraud Detection
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   Chapter 5 CAPTuring Accents: An Approach to Personalize Pronunciation Training for Learners with Different L1 Backgrounds
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   Chapter 6 Improvements in Language Modeling, Voice Activity Detection, and Lexicon in OpenASR21 Low Resource Languages
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   Chapter 7 Phone Durations Modeling for Livvi-Karelian ASR
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   Chapter 8 Significance of Indic Self-supervised Speech Representations for Indic Under-Resourced ASR
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    Chapter 9 Study of Various End-to-End Keyword Spotting Systems on the Bengali Language Under Low-Resource Condition
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    Chapter 10 Bridging the Gap: Towards Linguistic Resource Development for the Low-Resource Lambani Language
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    Chapter 11 Studying the Effect of Frame-Level Concatenation of GFCC and TS-MFCC Features on Zero-Shot Children’s ASR
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    Chapter 12 Code-Mixed Text-to-Speech Synthesis Under Low-Resource Constraints
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    Chapter 13 An End-to-End TTS Model in Chhattisgarhi, a Low-Resource Indian Language
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    Chapter 14 An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language
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    Chapter 15 Cross Lingual Style Transfer Using Multiscale Loss Function for Soliga: A Low Resource Tribal Language
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    Chapter 16 Preliminary Analysis of Lambani Vowels and Vowel Classification Using Acoustic Features
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    Chapter 17 Curriculum Learning Based Approach for Faster Convergence of TTS Model
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    Chapter 18 Rhythm Measures and Language Endangerment: The Case of Deori
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    Chapter 19 Konkani Phonetic Transcription System 1.0
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    Chapter 20 E-TTS: Expressive Text-to-Speech Synthesis for Hindi Using Data Augmentation
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    Chapter 21 Direct Vs Cascaded Speech-to-Speech Translation Using Transformer
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    Chapter 22 Deep Learning Based Speech Quality Assessment Focusing on Noise Effects
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    Chapter 23 Quantifying the Emotional Landscape of Music with Three Dimensions
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    Chapter 24 Analysis of Mandarin vs English Language for Emotional Voice Conversion
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    Chapter 25 Audio DeepFake Detection Employing Multiple Parametric Exponential Linear Units
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    Chapter 26 A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection
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    Chapter 27 On the Asymptotic Behaviour of the Speech Signal
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    Chapter 28 Improvement of Audio-Visual Keyword Spotting System Accuracy Using Excitation Source Feature
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    Chapter 29 Developing a Question Answering System on the Material of Holocaust Survivors’ Testimonies in Russian
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    Chapter 30 Decoding Asian Elephant Vocalisations: Unravelling Call Types, Context-Specific Behaviors, and Individual Identities
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    Chapter 31 Enhancing Children’s Short Utterance Based ASV Using Data Augmentation Techniques and Feature Concatenation Approach
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    Chapter 32 Studying the Effectiveness of Data Augmentation and Frequency-Domain Linear Prediction Coefficients in Children’s Speaker Verification Under Low-Resource Conditions
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    Chapter 33 Constant-Q Based Harmonic and Pitch Features for Normal vs. Pathological Infant Cry Classification
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    Chapter 34 Robustness of Whisper Features for Infant Cry Classification
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    Chapter 35 I-MSV 2022: Indic-Multilingual and Multi-sensor Speaker Verification Challenge
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    Chapter 36 Multi-task Learning over Mixup Variants for the Speaker Verification Task
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    Chapter 37 Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language
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    Chapter 38 Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification
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    Chapter 39 Ensemble of Incremental System Enhancements for Robust Speaker Diarization in Code-Switched Real-Life Audios
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    Chapter 40 Enhancing Language Identification in Indian Context Through Exploiting Learned Features with Wav2Vec2.0
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    Chapter 41 Design and Development of Voice OTP Authentication System
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    Chapter 42 End-to-End Native Language Identification Using a Modified Vision Transformer(ViT) from L2 English Speech
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    Chapter 43 Dialect Identification in Ao Using Modulation-Based Representation
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    Chapter 44 Self-supervised Speaker Verification Employing Augmentation Mix and Self-augmented Training-Based Clustering