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Neural Networks

11,300 papers

Papers per year

23
145
1348
811
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'25

Papers

Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think INTERSPEECH 2023
BAT: Boundary aware transducer for memory-efficient and low-latency ASR INTERSPEECH 2023
Investigating the dynamics of hand and lips in French Cued Speech using attention mechanisms and CTC-based decoding INTERSPEECH 2023
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction INTERSPEECH 2023
Dynamic Encoder RNN for Online Voice Activity Detection in Adverse Noise Conditions INTERSPEECH 2023
Point to the Hidden: Exposing Speech Audio Splicing via Signal Pointer Nets INTERSPEECH 2023
Real-Time Causal Spectro-Temporal Voice Activity Detection Based on Convolutional Encoding and Residual Decoding INTERSPEECH 2023
The MALACH Corpus: Results with End-to-End Architectures and Pretraining INTERSPEECH 2023
Noise-Robust Bandwidth Expansion for 8K Speech Recordings INTERSPEECH 2023
Exploring Auditory Attention Decoding using Speaker Features INTERSPEECH 2023
Similar Hierarchical Representation of Speech and Other Complex Sounds In the Brain and Deep Residual Networks: An MEG Study INTERSPEECH 2023
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking INTERSPEECH 2023
A Compact End-to-End Model with Local and Global Context for Spoken Language Identification INTERSPEECH 2023
MOSLight: A Lightweight Data-Efficient System for Non-Intrusive Speech Quality Assessment INTERSPEECH 2023
MTANet: Multi-band Time-frequency Attention Network for Singing Melody Extraction from Polyphonic Music INTERSPEECH 2023
Obstructive sleep apnea screening with breathing sounds and respiratory effort: a multimodal deep learning approach INTERSPEECH 2023
Ridges, Neural Networks, and the Radon Transform JMLR 2023
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data JMLR 2023
Topological Convolutional Layers for Deep Learning JMLR 2023
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs JMLR 2023
Minimal Width for Universal Property of Deep RNN JMLR 2023
Integrating Random Effects in Deep Neural Networks JMLR 2023
Incremental Learning in Diagonal Linear Networks JMLR 2023
Quasi-Equivalence between Width and Depth of Neural Networks JMLR 2023
Random Feature Neural Networks Learn Black-Scholes Type PDEs Without Curse of Dimensionality JMLR 2023