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Phoneme Recognition

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Showing 76–100 of 104 papers

TitleStatusHype
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion—0
Re-synchronization using the Hand Preceding Model for Multi-modal Fusion in Automatic Continuous Cued Speech Recognition—0
SAN: a robust end-to-end ASR model architecture—0
Segment Boundary Detection via Class Entropy Measurements in Connectionist Phoneme Recognition—0
Self-Supervised Models for Phoneme Recognition: Applications in Children's Speech for Reading Learning—0
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition—0
Semi-Supervised Phoneme Recognition with Recurrent Ladder Networks—0
SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting—0
Speech Data Augmentation for Improving Phoneme Transcriptions of Aphasic Speech Using Wav2Vec 2.0 for the PSST Challenge—0
Speech-dependent Modeling of Own Voice Transfer Characteristics for In-ear Microphones in Hearables—0
End-to-end Phoneme Sequence Recognition using Convolutional Neural NetworksCode0
Singing Language Identification using a Deep Phonotactic ApproachCode0
Application of Word2vec in Phoneme RecognitionCode0
Spanish and English Phoneme Recognition by Training on Simulated Classroom Audio Recordings of Collaborative Learning EnvironmentsCode0
SCORE: Self-supervised Correspondence Fine-tuning for Improved Content RepresentationsCode0
Do Deep Nets Really Need to be Deep?Code0
Benchmarking Generative Latent Variable Models for SpeechCode0
Towards End-to-End Speech Recognition with Deep Convolutional Neural NetworksCode0
LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related TasksCode0
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech RecognitionCode0
Deep Neural Convolutive Matrix Factorization for Articulatory Representation DecompositionCode0
Speech Recognition with Deep Recurrent Neural NetworksCode0
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State TransducersCode0
Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained modelsCode0
Sequence Transduction with Recurrent Neural NetworksCode0
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