Search Results for author: I-Fan Chen

Found 5 papers, 0 papers with code

Investigation of Training Label Error Impact on RNN-T

no code implementations1 Dec 2021 I-Fan Chen, Brian King, Jasha Droppo

In this paper, we propose an approach to quantitatively analyze impacts of different training label errors to RNN-T based ASR models.

Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition

no code implementations30 Jun 2020 Maarten Van Segbroeck, Harish Mallidih, Brian King, I-Fan Chen, Gurpreet Chadha, Roland Maas

Acoustic models in real-time speech recognition systems typically stack multiple unidirectional LSTM layers to process the acoustic frames over time.

Automatic Speech Recognition

Data Techniques For Online End-to-end Speech Recognition

no code implementations24 Jan 2020 Yang Chen, Weiran Wang, I-Fan Chen, Chao Wang

Practitioners often need to build ASR systems for new use cases in a short amount of time, given limited in-domain data.

Data Augmentation Domain Adaptation +2

End-to-end Anchored Speech Recognition

no code implementations6 Feb 2019 Yiming Wang, Xing Fan, I-Fan Chen, Yuzong Liu, Tongfei Chen, Björn Hoffmeister

The anchored segment refers to the wake-up word part of an audio stream, which contains valuable speaker information that can be used to suppress interfering speech and background noise.

Frame Multi-Task Learning +1

Maximum a Posteriori Adaptation of Network Parameters in Deep Models

no code implementations6 Mar 2015 Zhen Huang, Sabato Marco Siniscalchi, I-Fan Chen, Jiadong Wu, Chin-Hui Lee

We present a Bayesian approach to adapting parameters of a well-trained context-dependent, deep-neural-network, hidden Markov model (CD-DNN-HMM) to improve automatic speech recognition performance.

Automatic Speech Recognition

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