Haohan Guo

Orcid: 0000-0002-3393-9984

According to our database1, Haohan Guo authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.
CoRR, 2024

Cross-Speaker Encoding Network for Multi-Talker Speech Recognition.
CoRR, 2024

2023
MSMC-TTS: Multi-Stage Multi-Codebook VQ-VAE Based Neural TTS.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning.
CoRR, 2023

2022
Towards High-Quality Neural TTS for Low-Resource Languages by Learning Compact Speech Representations.
CoRR, 2022

A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural TTS.
Proceedings of the Interspeech 2022, 2022

A Multi-Scale Time-Frequency Spectrogram Discriminator for GAN-based Non-Autoregressive TTS.
Proceedings of the Interspeech 2022, 2022

Improving Adversarial Waveform Generation Based Singing Voice Conversion with Harmonic Signals.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Conversational End-to-End TTS for Voice Agents.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training.
CoRR, 2020

Conversational End-to-End TTS for Voice Agent.
CoRR, 2020

2019
Feature reinforcement with word embedding and parsing information in neural TTS.
CoRR, 2019

Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS.
Proceedings of the Interspeech 2019, 2019

A New GAN-Based End-to-End TTS Training Algorithm.
Proceedings of the Interspeech 2019, 2019


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