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Phoneme Recognition

Papers

Showing 2650 of 104 papers

TitleStatusHype
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech RecognitionCode0
Speech Recognition with Deep Recurrent Neural NetworksCode0
Finding phonemes: improving machine lip-reading0
Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network0
Automatic recognition of suprasegmentals in speech0
A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework0
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks0
Ensemble knowledge distillation of self-supervised speech models0
Nonlinear ISA with Auxiliary Variables for Learning Speech Representations0
Multi-task Learning with Cross Attention for Keyword Spotting0
Enhancing Child Vocalization Classification with Phonetically-Tuned Embeddings for Assisting Autism Diagnosis0
A Dual-Decoder Conformer for Multilingual Speech Recognition0
A Comparison of Transformer, Convolutional, and Recurrent Neural Networks on Phoneme Recognition0
Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer0
Modeling of Speech-dependent Own Voice Transfer Characteristics for Hearables with In-ear Microphones0
Detecting Mismatch between Text Script and Voice-over Using Utterance Verification Based on Phoneme Recognition Ranking0
A Novel End-to-End CAPT System for L2 Children Learners0
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling0
More than words: Advancements and challenges in speech recognition for singing0
Deep Triphone Embedding Improves Phoneme Recognition0
Multilingual Zero Resource Speech Recognition Base on Self-Supervise Pre-Trained Acoustic Models0
Learning linearly separable features for speech recognition using convolutional neural networks0
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition0
Learning Hard Alignments with Variational Inference0
DeepSpeech models show Human-like Performance and Processing of Cochlear Implant Inputs0
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