Keywords:

• acoustic modeling
• Adaboost
• Alzheimer's disease
• Anti-spoofing
• articulatory features
• Artificial Neural Networks
• atypical speech
• Automatic accent assessment
• Automatic accent evaluation
• automatic gender recognition
• Automatic speaker verification (ASV)
• Automatic Speech Recognition
• automatic subword unit derivation
• bag of audio words
• Binary features
• binary masking
• BoAW
• boosting
• breathing pattern estimation
• breathing patterns
• Children speech recognition
• Classification
• CNN visualization
• ComParE features
• computational efficiency
• Conditional Random Fields
• confidence measures
• continuous speech recognition boosted binary features resource management
• Convolution Neural Network
• Convolutional neural network
• Convolutional Neural Networks
• COVID-19 identification
• cross-database
• deep learning
• deep neural networks
• depression detection
• Direction of arrival estimation
• dynamic programming
• Dysarthria
• Dysarthric speech
• embedding
• Emotion Recognition
• end-to-end acoustic modeling
• End-to-end learning
• end-to-end modelling
• end-to-end training
• expected performance and spoofability curve
• Expressive Vocalizations
• feature selection
• Few-shot learning
• fine-tuning
• fixed-size word patterns
• Formant identification
• Formants
• Fundamental frequency
• Fusion
• Gaussian mixture
• glottal source signals.
• grapheme
• Grapheme subword units
• grapheme subwords
• grapheme-to- phoneme conversion
• grapheme-to-phoneme conversion
• grapheme-to-phoneme converter
• Graphemes
• Hidden Markov Model
• hidden Markov models
• human skeleton estimation
• integration of ASV and anti-spoofing
• Inter-pretable Models
• isolated word recognition
• Kalman filters
• KL-divergence
• KL-HMM
• Kullback-Leibler divergence
• Kullback-Leibler divergence based hidden Markov model
• Kullback-Leibler divergence based HMM
• Kullback–Leibler divergence based hidden Markov model
• language disorder
• Language Production
• letter-to-sound rules
• lexical model
• Lexical modeling
• Lexicon
• local posterior probability
• localization
• long-term statistics
• low level descriptors
• Mental Lexicon
• microphone array
• microphone arrays
• mobile biometrics
• modalities fusion
• modified ZFF
• multi- layer perceptron
• Multi-modal Approach
• multi-stream combination
• Multi-task learning
• multilayer perceptron
• multilayer perceptron network
• multilingual acoustic modeling
• multiple linear regression
• Multiple speaker localization
• multiple speakers
• multiple-stream combination
• multitask learning
• neural network
• Noise Robustness
• non-native speech
• non-native speech recognition
• Objective Evaluation
• Objective intelligibility
• Objective intelligibility Assessment
• objective measures
• overlapping speech recognition
• Paralinguistic speech processing
• Parkinson's disease
• parts-based approach
• Pathological speech
• Pathological Speech Processing
• Perceived fluency
• phoneme
• phoneme modeling
• Phoneme recognition
• phoneme subword units
• phoneme subwords
• phonemes
• Phonetic information
• phonetic representation
• Phonocardiogram
• Posterior features
• posterior probabilities
• pre-trained embedding
• presentation attack
• Presentation Attack Detection
• probabilistic lexical modeling
• pronunciation generation
• pronunciation lexicon
• Raw Speech
• raw waveform modelling
• raw waveforms
• raw-waveform cnn
• Reading Assessment
• recognition
• recurrent neural network
• Respiratory parameters
• S1-S2 detection
• Scottish Gaelic
• segment-level training.
• Self-Organizing Maps
• Self-supervised embedding
• self-supervised learning
• sign language assessment
• Sign language processing
• signal processing
• sleepiness
• speaker verification
• speaker-specific features
• spectral statistics
• Speech Analysis
• speech assessment
• Speech breathing
• Speech Emotion Recognition
• Speech enhancement
• Speech intelligibility
• speech recognition
• speech recognition.
• speech separation
• speech synthesis
• Speech technology
• Spoofing
• spoofing detection
• Steered response power
• String matching
• SVM
• syllable-level-features
• synthetic reference templates.
• Synthetic speech
• TANDEM features
• template-based approach
• template-based system
• Text classification
• text-to-speech synthesis
• tracking
• under-resource speech recognition
• under-resourced languages
• universal phoneme set
• unsupervised adaptation
• utterance verification
• voice activity detection
• Voice Conversion
• zero frequency filter
• Zero frequency filtering
• zero-frequency filtering
• zero-resourced speech recognition