Papers with Code 아카이브
Acoustic Modelling
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field
SonoTraceLab - A Raytracing-Based Acoustic Modelling System for Simulating Echolocation Behavior of Bats
An overview of text-to-speech systems and media applications
Matcha-TTS: A fast TTS architecture with conditional flow matching
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning
Impact of Dataset on Acoustic Models for Automatic Speech Recognition
Investigation of Deep Neural Network Acoustic Modelling Approaches for Low Resource Accented Mandarin Speech Recognition
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling
Enhancing audio quality for expressive Neural Text-to-Speech
Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System
End-to-end acoustic modelling for phone recognition of young readers
A comparative study of two-dimensional vocal tract acoustic modeling based on Finite-Difference Time-Domain methods
WaDeNet: Wavelet Decomposition based CNN for Speech Processing
Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages
Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech
Cross lingual transfer learning for zero-resource domain adaptation
Acoustic Model Adaptation from Raw Waveforms with SincNet
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training
Multi-Span Acoustic Modelling using Raw Waveform Signals
Semi-supervised acoustic model training for five-lingual code-switched ASR
Cumulative Adaptation for BLSTM Acoustic Models
GIBBONFINDR: An R package for the detection and classification of acoustic signals
WGANSing
Densely Connected Convolutional Networks for Speech Recognition
Lip-Reading Driven Deep Learning Approach for Speech Enhancement
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis
Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis
High Order Recurrent Neural Networks for Acoustic Modelling
Semi-supervised Learning with Sparse Autoencoders in Phone Classification
The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition
Knowledge Distillation for Small-footprint Highway Networks
Segmental Recurrent Neural Networks for End-to-end Speech Recognition
The 2015 Sheffield System for Transcription of Multi-Genre Broadcast Media
Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation
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