Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Chen, I-fan"'
Autor:
Yu, Yu, Yang, Chao-Han Huck, Kolehmainen, Jari, Shivakumar, Prashanth G., Gu, Yile, Ryu, Sungho, Ren, Roger, Luo, Qi, Gourav, Aditya, Chen, I-Fan, Liu, Yi-Chieh, Dinh, Tuan, Gandhe, Ankur, Filimonov, Denis, Ghosh, Shalini, Stolcke, Andreas, Rastow, Ariya, Bulyko, Ivan
Publikováno v:
Proc. IEEE ASRU Workshop, Dec. 2023
We propose a neural language modeling system based on low-rank adaptation (LoRA) for speech recognition output rescoring. Although pretrained language models (LMs) like BERT have shown superior performance in second-pass rescoring, the high computati
Externí odkaz:
http://arxiv.org/abs/2309.15223
Autor:
Chen, I-Fan
In this dissertation, three research directions were explored to alleviate two major issues, i.e., the use of incorrect models and training/test condition mismatches, in the modeling frameworks of modern spoken keyword search (KWS) systems. Each of t
Externí odkaz:
http://hdl.handle.net/1853/54919
Differential privacy (DP) is one data protection avenue to safeguard user information used for training deep models by imposing noisy distortion on privacy data. Such a noise perturbation often results in a severe performance degradation in automatic
Externí odkaz:
http://arxiv.org/abs/2210.05614
Autor:
Dheram, Pranav, Ramakrishnan, Murugesan, Raju, Anirudh, Chen, I-Fan, King, Brian, Powell, Katherine, Saboowala, Melissa, Shetty, Karan, Stolcke, Andreas
Publikováno v:
Proc. Interspeech, Sept. 2022, pp. 1268-1272
As for other forms of AI, speech recognition has recently been examined with respect to performance disparities across different user cohorts. One approach to achieve fairness in speech recognition is to (1) identify speaker cohorts that suffer from
Externí odkaz:
http://arxiv.org/abs/2207.11345
In this paper, we propose an approach to quantitatively analyze impacts of different training label errors to RNN-T based ASR models. The result shows deletion errors are more harmful than substitution and insertion label errors in RNN-T training dat
Externí odkaz:
http://arxiv.org/abs/2112.00350
Autor:
Chen, I-Fan, 陳奕帆
108
Network traffic classification and estimation is a major issue in many network management applications. Various statistics of the traffic can be used for classification applications. We are interested in a particular network traffic paramete
Network traffic classification and estimation is a major issue in many network management applications. Various statistics of the traffic can be used for classification applications. We are interested in a particular network traffic paramete
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/cbpv92
Autor:
Van Segbroeck, Maarten, Mallidih, Harish, King, Brian, Chen, I-Fan, Chadha, Gurpreet, Maas, Roland
Acoustic models in real-time speech recognition systems typically stack multiple unidirectional LSTM layers to process the acoustic frames over time. Performance improvements over vanilla LSTM architectures have been reported by prepending a stack of
Externí odkaz:
http://arxiv.org/abs/2007.00131
Practitioners often need to build ASR systems for new use cases in a short amount of time, given limited in-domain data. While recently developed end-to-end methods largely simplify the modeling pipelines, they still suffer from the data sparsity iss
Externí odkaz:
http://arxiv.org/abs/2001.09221
Voice-controlled house-hold devices, like Amazon Echo or Google Home, face the problem of performing speech recognition of device-directed speech in the presence of interfering background speech, i.e., background noise and interfering speech from ano
Externí odkaz:
http://arxiv.org/abs/1902.02383
Autor:
Chen, I-Fan, 陳依凡
105
In view of the past, most of the dust explosion events only to explore the causes and prevention, less on the detection process, treatment satisfaction, improvement and cost analysis; Also in the case of Color Asia 2015, burn area (TBSA) mor
In view of the past, most of the dust explosion events only to explore the causes and prevention, less on the detection process, treatment satisfaction, improvement and cost analysis; Also in the case of Color Asia 2015, burn area (TBSA) mor
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/958rbx