[2005.10470] Multistream CNN for Robust Acoustic Modeling

[2005.10470] Multistream CNN for Robust Acoustic Modeling - arXiv

The proposed architecture processes input speech with diverse temporal resolutions by applying different dilation rates to convolutional neural ...

Multistream CNN for Robust Acoustic Modeling - Daniel Povey

This paper presents multistream CNN, a novel neural network architecture for robust acoustic modeling in speech recognition.

Multistream CNN for Robust Acoustic Modeling - GitHub

Multistream Convolutional Neural Network (CNN). A multistream CNN is a novel neural network architecture for robust acoustic modeling in speech recognition ...

arXiv:2005.10470v2 [eess.AS] 25 Apr 2021

Index Terms: Multistream CNN, robust acoustic modeling, speech recognition. 1. INTRODUCTION. Automatic speech recognition (ASR) with ...

Multistream CNN for Robust Acoustic Modeling - Semantic Scholar

The effectiveness of the proposed multistream CNN architecture is validated by showing consistent improvements against Kaldi's best TDNN-F ...

multistream-cnn/egs/fisher_swbd/s5/local/chain ... - GitHub

... Multistream CNN for Robust Acoustic Modeling", # https://arxiv.org/abs/2005.10470. # %WER 15.7 | 2628 21594 | 86.5 9.5 4.0 2.2 15.7 50.8 | exp/chain ...

Multistream CNN for Robust Acoustic Modeling - ResearchGate

Download Citation | On Jun 6, 2021, Kyu J. Han and others published Multistream CNN for Robust Acoustic Modeling | Find, read and cite all the research you ...

Resource-efficient TDNN Architectures for Audio-visual Speech ...

Povey, “Multistream CNN for robust acoustic modeling,” CoRR, abs/2005.10470, 2020. [35] D. Povey et al., “The Kaldi speech recognition toolkit,” in Proc ...

Acoustic Model with Multiple Lexicon Types for Indonesian Speech ...

Povey, “Multistream CNN for Robust Acoustic Modeling,” 2021, https://arxiv.org/abs/2005.10470. Google Scholar. [34]. M. Kubanek, J. Bobulski ...

Daniel Povey - DBLP

Multistream CNN for Robust Acoustic Modeling. CoRR abs/2005.10470 (2020). [i7] ... The subspace Gaussian mixture model - A structured model for speech recognition.

Deformable TDNN with adaptive receptive fields for speech ...

D Povey. K. J. Han, J. Pan, V. K. N. Tadala, T. Ma, and D. Povey, "Multistream cnn for robust acoustic modeling," ArXiv, vol. abs/2005.10470, 2020.

Deformable TDNN with adaptive receptive fields for speech ...

Ma, and D. Povey,. “Multistream cnn for robust acoustic modeling,” ArXiv, vol. abs/2005.10470, 2020. [9] ...

Leveraging Pre-Trained Language Model for Speech Sentiment ...

Shin, “DNN-based emotion recognition based on bottleneck acoustic ... Povey,. “Multistream CNN for robust acoustic modeling,” arXiv preprint. arXiv:2005.10470, ...

Acoustic Model with Multiple Lexicon Types for Indonesian Speech ...

As for the datasets, we collected audio from the YouTube channels and built the acoustic models using GMM-HMM, TDNN, and CNN. 2. Materials and ...

Neural Network based Modeling and Architectures for Automatic ...

... CNN acoustic models. We are the first group to publish such a public ... and robust training recipe for LSTM acoustic models. We ...

The TAL System for the INTERSPEECH2021 Shared Task on ...

robustness like Specaugment [22]. We fine-tuned on the tran ... “Multistream CNN for ro- bust acoustic modeling,” arXiv preprint, arXiv:2005.10470, 2020.

Multistream TDNN and new Vosk model - Alpha Cephei

The multistream multi-resolution TDNN is introduced in the paper: Multistream CNN for Robust Acoustic Modeling by Kyu J. Han, Jing Pan ...

Luka Chkhetiani - News, Tutorials, AI Research - AssemblyAI

AI Research Review - Multistream CNN. This week's AI Research Review is Multistream CNN For Robust Acoustic Modeling. Luka Chkhetiani's ...

Multistream CNN for Robust Acoustic Modeling - BasePub

This paper proposes multistream CNN, a novel neural network architecture for robust acoustic modeling in speech recognition tasks.

Edinburgh Research Explorer - Multi-stream Acoustic Modelling ...

FBank features' default size is 80 unless mentioned otherwise. The raw waveform features' size in. CNN+FC and CLDNN systems is 3200 (200 ms) and 400 samples (25 ...