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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
Anubhab Ghosh
Antoine Honoré
Dong Liu
G. Henter
Saikat Chatterjee
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
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
Rajmund Nagy
Jonas Beskow
G. Henter
DiffMVGen
253
225
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
Shivam Mehta
Ambika Kirkland
Harm Lameris
Jonas Beskow
Éva Székely
G. Henter
AI4TS
249
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
Shivam Mehta
Éva Székely
Jonas Beskow
G. Henter
330
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
Sameer Singh
Carlos Guestrin
FAttFaML
2.2K
19,454
0
16 Feb 2016
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