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Normalizing Flow based Hidden Markov Models for Classification of Speech
Phones with Explainability

Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability

1 July 2021

Antoine Honoré

Saikat Chatterjee

ArXiv (abs)PDF HTML

Papers citing "Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability"

4 / 4 papers shown

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion
Models

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion ModelsACM Transactions on Graphics (TOG), 2022

Simon Alexanderson

284

231

0

17 Nov 2022

OverFlow: Putting flows on top of neural transducers for better TTS

OverFlow: Putting flows on top of neural transducers for better TTSInterspeech (Interspeech), 2022

Ambika Kirkland

252

16

0

13 Nov 2022

Neural HMMs are all you need (for high-quality attention-free TTS)

Neural HMMs are all you need (for high-quality attention-free TTS)IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021

364

20

0

30 Aug 2021

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Marco Tulio Ribeiro

Carlos Guestrin

2.5K

19,701

0

16 Feb 2016