Yang Zhang

Affiliations:
  • NVIDIA, Santa Clara, CA, USA


According to our database1, Yang Zhang authored at least 11 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
A Chat About Boring Problems: Studying GPT-based text normalization.
CoRR, 2023

Conformer-Based Target-Speaker Automatic Speech Recognition For Single-Channel Audio.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization.
Proceedings of the Interspeech 2022, 2022

2021
A Unified Transformer-based Framework for Duplex Text Normalization.
CoRR, 2021

SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services.
CoRR, 2021

NeMo Inverse Text Normalization: From Development to Production.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

NeMo (Inverse) Text Normalization: From Development to Production.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Hi-Fi Multi-Speaker English TTS Dataset.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
A Fast and Robust BERT-based Dialogue State Tracker for Schema Guided Dialogue Dataset.
Proceedings of the KDD 2020 Workshop on Conversational Systems Towards Mainstream Adoption co-located with the 26TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2020), 2020

Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

BioMegatron: Larger Biomedical Domain Language Model.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


  Loading...