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2020 – today
- 2025
[j44]Guangzhi Sun
, Chao Zhang, Ivan Vulic, Pawel Budzianowski, Philip C. Woodland:
Knowledge-aware audio-grounded generative slot filling for limited annotated data. Comput. Speech Lang. 89: 101707 (2025)- 2024
- [j43]Keqi Deng, Philip C. Woodland:
Decoupled structure for improved adaptability of end-to-end models. Speech Commun. 163: 103109 (2024) - [j42]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Graph Neural Networks for Contextual ASR With the Tree-Constrained Pointer Generator. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2407-2417 (2024) - [j41]Keqi Deng, Philip C. Woodland:
Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3507-3516 (2024) - [c192]Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland:
Modelling Variability in Human Annotator Simulation. ACL (Findings) 2024: 1139-1157 - [c191]Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland:
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. ACL (1) 2024: 2078-2093 - [c190]Guangzhi Sun, Shutong Feng, Dongcheng Jiang, Chao Zhang, Milica Gasic, Philip C. Woodland:
Speech-based Slot Filling using Large Language Models. ACL (Findings) 2024: 6351-6362 - [c189]Keqi Deng, Philip C. Woodland:
Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation. ACL (1) 2024: 8235-8251 - [c188]Nineli Lashkarashvili, Wen Wu, Guangzhi Sun, Philip C. Woodland:
Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation. ICASSP 2024: 10986-10990 - [c187]Keqi Deng, Philip C. Woodland:
FastInject: Injecting Unpaired Text Data into CTC-Based ASR Training. ICASSP 2024: 11836-11840 - [c186]Mingjie Chen, Hezhao Zhang, Yuanchao Li, Jiachen Luo, Wen Wu, Ziyang Ma, Peter Bell, Catherine Lai, Joshua D. Reiss, Lin Wang, Philip C. Woodland, Xie Chen, Huy Phan, Thomas Hain:
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem. Odyssey 2024: 260-265 - [i52]Nineli Lashkarashvili, Wen Wu, Guangzhi Sun, Philip C. Woodland:
Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation. CoRR abs/2402.11747 (2024) - [i51]Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland:
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. CoRR abs/2402.12862 (2024) - [i50]Guangzhi Sun, Potsawee Manakul, Adian Liusie, Kunat Pipatanakul, Chao Zhang, Philip C. Woodland, Mark J. F. Gales:
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models. CoRR abs/2405.13684 (2024) - [i49]Mingjie Chen, Hezhao Zhang, Yuanchao Li, Jiachen Luo, Wen Wu, Ziyang Ma, Peter Bell, Catherine Lai, Joshua D. Reiss, Lin Wang, Philip C. Woodland, Xie Chen, Huy Phan, Thomas Hain:
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem. CoRR abs/2405.20064 (2024) - [i48]Keqi Deng, Guangzhi Sun, Philip C. Woodland:
Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning. CoRR abs/2406.00522 (2024) - [i47]Keqi Deng, Philip C. Woodland:
Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation. CoRR abs/2406.04541 (2024) - [i46]Xiaodong Wu, Wenyi Yu, Chao Zhang, Philip C. Woodland:
An Improved Empirical Fisher Approximation for Natural Gradient Descent. CoRR abs/2406.06420 (2024) - [i45]Wen Wu, Chao Zhang, Philip C. Woodland:
Confidence Estimation for Automatic Detection of Depression and Alzheimer's Disease Based on Clinical Interviews. CoRR abs/2407.19984 (2024) - 2023
- [j40]Qiujia Li, Chao Zhang, Philip C. Woodland:
Combining hybrid DNN-HMM ASR systems with attention-based models using lattice rescoring. Speech Commun. 147: 12-21 (2023) - [j39]Wen Wu, Chao Zhang, Xixin Wu, Philip C. Woodland:
Estimating the Uncertainty in Emotion Class Labels With Utterance-Specific Dirichlet Priors. IEEE Trans. Affect. Comput. 14(4): 2810-2822 (2023) - [j38]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Minimising Biasing Word Errors for Contextual ASR With the Tree-Constrained Pointer Generator. IEEE ACM Trans. Audio Speech Lang. Process. 31: 345-354 (2023) - [c185]Wen Wu, Chao Zhang, Philip C. Woodland:
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression. ACL (1) 2023: 15681-15695 - [c184]Keqi Deng, Philip C. Woodland:
Adaptable End-to-End ASR Models Using Replaceable Internal LMs and Residual Softmax. ICASSP 2023: 1-5 - [c183]Evonne P. C. Lee, Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Spectral Clustering-Aware Learning of Embeddings for Speaker Diarisation. ICASSP 2023: 1-5 - [c182]Yuang Li, Xianrui Zheng, Philip C. Woodland:
Self-Supervised Learning-Based Source Separation for Meeting Data. ICASSP 2023: 1-5 - [c181]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
End-to-End Spoken Language Understanding with Tree-Constrained Pointer Generator. ICASSP 2023: 1-5 - [c180]Wen Wu, Chao Zhang, Philip C. Woodland:
Self-Supervised Representations in Speech-Based Depression Detection. ICASSP 2023: 1-5 - [c179]Guangzhi Sun, Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Can Contextual Biasing Remain Effective with Whisper and GPT-2? INTERSPEECH 2023: 1289-1293 - [c178]Dongcheng Jiang, Chao Zhang, Philip C. Woodland:
A Neural Time Alignment Module for End-to-End Automatic Speech Recognition. INTERSPEECH 2023: 1374-1378 - [c177]Wen Wu, Chao Zhang, Philip C. Woodland:
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations. INTERSPEECH 2023: 3607-3611 - [c176]Florian L. Kreyssig, Yangyang Shi, Jinxi Guo, Leda Sari, Abdel-rahman Mohamed, Philip C. Woodland:
Biased Self-supervised Learning for ASR. INTERSPEECH 2023: 4948-4952 - [i44]Keqi Deng, Philip C. Woodland:
Adaptable End-to-End ASR Models using Replaceable Internal LMs and Residual Softmax. CoRR abs/2302.08579 (2023) - [i43]Xiaoyu Yang, Qiujia Li, Chao Zhang, Philip C. Woodland:
Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition. CoRR abs/2303.10917 (2023) - [i42]Wen Wu, Chao Zhang, Philip C. Woodland:
Self-supervised representations in speech-based depression detection. CoRR abs/2305.12263 (2023) - [i41]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator. CoRR abs/2305.18824 (2023) - [i40]Guangzhi Sun, Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Can Contextual Biasing Remain Effective with Whisper and GPT-2? CoRR abs/2306.01942 (2023) - [i39]Wen Wu, Chao Zhang, Philip C. Woodland:
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression. CoRR abs/2306.06760 (2023) - [i38]Guangzhi Sun, Chao Zhang, Ivan Vulic, Pawel Budzianowski, Philip C. Woodland:
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data. CoRR abs/2307.01764 (2023) - [i37]Wen Wu, Chao Zhang, Philip C. Woodland:
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations. CoRR abs/2308.07145 (2023) - [i36]Keqi Deng, Philip C. Woodland:
Decoupled Structure for Improved Adaptability of End-to-End Models. CoRR abs/2308.13345 (2023) - [i35]Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland:
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation. CoRR abs/2310.00486 (2023) - [i34]Theodor Nguyen, Guangzhi Sun, Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Conditional Diffusion Model for Target Speaker Extraction. CoRR abs/2310.04791 (2023) - [i33]Guangzhi Sun, Shutong Feng, Dongcheng Jiang, Chao Zhang, Milica Gasic, Philip C. Woodland:
Speech-based Slot Filling using Large Language Models. CoRR abs/2311.07418 (2023) - [i32]Keqi Deng, Philip C. Woodland:
FastInject: Injecting Unpaired Text Data into CTC-based ASR training. CoRR abs/2312.09100 (2023) - 2022
- [j37]Cai Wingfield, Chao Zhang, Barry Devereux, Elisabeth Fonteneau, Andrew Thwaites, Xunying Liu, Philip C. Woodland, William D. Marslen-Wilson, Li Su:
On the similarities of representations in artificial and brain neural networks for speech recognition. Frontiers Comput. Neurosci. 16 (2022) - [c175]Qiujia Li, Yu Zhang, David Qiu, Yanzhang He, Liangliang Cao, Philip C. Woodland:
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. ICASSP 2022: 6537-6541 - [c174]Xiaoyu Yang, Qiujia Li, Philip C. Woodland:
Knowledge Distillation for Neural Transducers from Large Self-Supervised Pre-Trained Models. ICASSP 2022: 8527-8531 - [c173]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition. INTERSPEECH 2022: 2043-2047 - [c172]Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription. INTERSPEECH 2022: 3844-3848 - [c171]Wen Wu, Chao Zhang, Philip C. Woodland:
Distribution-Based Emotion Recognition in Conversation. SLT 2022: 860-867 - [i31]Wen Wu, Chao Zhang, Xixin Wu, Philip C. Woodland:
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors. CoRR abs/2203.04443 (2022) - [i30]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Minimising Biasing Word Errors for Contextual ASR with the Tree-Constrained Pointer Generator. CoRR abs/2205.09058 (2022) - [i29]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition. CoRR abs/2207.00857 (2022) - [i28]Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription. CoRR abs/2207.03852 (2022) - [i27]Evonne P. C. Lee, Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Spectral Clustering-aware Learning of Embeddings for Speaker Diarisation. CoRR abs/2210.13576 (2022) - [i26]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
End-to-end Spoken Language Understanding with Tree-constrained Pointer Generator. CoRR abs/2210.16554 (2022) - [i25]Florian L. Kreyssig, Yangyang Shi, Jinxi Guo, Leda Sari, Abdelrahman Mohamed, Philip C. Woodland:
Biased Self-supervised learning for ASR. CoRR abs/2211.02536 (2022) - [i24]Wen Wu, Chao Zhang, Philip C. Woodland:
Distribution-based Emotion Recognition in Conversation. CoRR abs/2211.04834 (2022) - 2021
- [j36]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Combination of deep speaker embeddings for diarisation. Neural Networks 141: 372-384 (2021) - [j35]Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland:
A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training. Neural Networks 143: 537-549 (2021) - [c170]Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition. ASRU 2021: 162-168 - [c169]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-Constrained Pointer Generator for End-to-End Contextual Speech Recognition. ASRU 2021: 780-787 - [c168]Wen Wu, Chao Zhang, Philip C. Woodland:
Emotion Recognition by Fusing Time Synchronous and Time Asynchronous Representations. ICASSP 2021: 6269-6273 - [c167]Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman:
Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition. ICASSP 2021: 6388-6392 - [c166]Guangzhi Sun, D. Liu, Chao Zhang, Philip C. Woodland:
Content-Aware Speaker Embeddings for Speaker Diarisation. ICASSP 2021: 7168-7172 - [c165]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Transformer Language Models with LSTM-Based Cross-Utterance Information Representation. ICASSP 2021: 7363-7367 - [c164]Dongcheng Jiang, Chao Zhang, Philip C. Woodland:
Variable Frame Rate Acoustic Models Using Minimum Error Reinforcement Learning. Interspeech 2021: 2601-2605 - [c163]Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland:
Residual Energy-Based Models for End-to-End Speech Recognition. Interspeech 2021: 4069-4073 - [c162]Qiujia Li, Florian L. Kreyssig, Chao Zhang, Philip C. Woodland:
Discriminative Neural Clustering for Speaker Diarisation. SLT 2021: 574-581 - [i23]Guangzhi Sun, D. Liu, Chao Zhang, Philip C. Woodland:
Content-Aware Speaker Embeddings for Speaker Diarisation. CoRR abs/2102.06467 (2021) - [i22]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Transformer Language Models with LSTM-based Cross-utterance Information Representation. CoRR abs/2102.06474 (2021) - [i21]Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland:
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training. CoRR abs/2103.07554 (2021) - [i20]Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland:
Residual Energy-Based Models for End-to-End Speech Recognition. CoRR abs/2103.14152 (2021) - [i19]Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition. CoRR abs/2108.07789 (2021) - [i18]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition. CoRR abs/2109.00627 (2021) - [i17]Qiujia Li, Yu Zhang, David Qiu, Yanzhang He, Liangliang Cao, Philip C. Woodland:
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. CoRR abs/2110.03327 (2021) - 2020
- [c161]Yassir Fathullah, Chao Zhang, Philip C. Woodland:
Improved Large-Margin Softmax Loss for Speaker Diarisation. ICASSP 2020: 7104-7108 - [c160]Florian L. Kreyssig, Philip C. Woodland:
Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings. INTERSPEECH 2020: 3241-3245 - [i16]Florian L. Kreyssig, Philip C. Woodland:
Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings. CoRR abs/2008.03756 (2020) - [i15]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Cross-Utterance Language Models with Acoustic Error Sampling. CoRR abs/2009.01008 (2020) - [i14]Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman:
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition. CoRR abs/2010.11428 (2020) - [i13]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Combination of Deep Speaker Embeddings for Diarisation. CoRR abs/2010.12025 (2020) - [i12]Wen Wu, Chao Zhang, Philip C. Woodland:
Emotion recognition by fusing time synchronous and time asynchronous representations. CoRR abs/2010.14102 (2020)
2010 – 2019
- 2019
- [c159]Qiujia Li, Chao Zhang, Philip C. Woodland:
Integrating Source-Channel and Attention-Based Sequence-to-Sequence Models for Speech Recognition. ASRU 2019: 39-46 - [c158]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Speaker Diarisation Using 2D Self-attentive Combination of Embeddings. ICASSP 2019: 5801-5805 - [c157]Chao Zhang, Florian L. Kreyssig, Qiujia Li, Philip C. Woodland:
PyHTK: Python Library and ASR Pipelines for HTK. ICASSP 2019: 6470-6474 - [c156]Patrick von Platen, Chao Zhang, Philip C. Woodland:
Multi-Span Acoustic Modelling Using Raw Waveform Signals. INTERSPEECH 2019: 1393-1397 - [i11]Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Speaker diarisation using 2D self-attentive combination of embeddings. CoRR abs/1902.03190 (2019) - [i10]Patrick von Platen, Chao Zhang, Philip C. Woodland:
Multi-Span Acoustic Modelling using Raw Waveform Signals. CoRR abs/1906.11047 (2019) - [i9]Qiujia Li, Chao Zhang, Philip C. Woodland:
Integrating Source-channel and Attention-based Sequence-to-sequence Models for Speech Recognition. CoRR abs/1909.06614 (2019) - [i8]Qiujia Li, Florian L. Kreyssig, Chao Zhang, Philip C. Woodland:
Discriminative Neural Clustering for Speaker Diarisation. CoRR abs/1910.09703 (2019) - [i7]Yassir Fathullah, Chao Zhang, Philip C. Woodland:
Improved Large-margin Softmax Loss for Speaker Diarisation. CoRR abs/1911.03970 (2019) - 2018
- [c155]Florian L. Kreyssig, Chao Zhang, Philip C. Woodland:
Improved Tdnns Using Deep Kernels and Frequency Dependent Grid-RNNS. ICASSP 2018: 4864-4868 - [c154]Chao Zhang, Philip C. Woodland:
High Order Recurrent Neural Networks for Acoustic Modelling. ICASSP 2018: 5849-5853 - [c153]Yu Wang, Chao Zhang, Mark J. F. Gales, Philip C. Woodland:
Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem Systems. INTERSPEECH 2018: 872-876 - [c152]Chao Zhang, Philip C. Woodland:
Semi-tied Units for Efficient Gating in LSTM and Highway Networks. INTERSPEECH 2018: 1773-1777 - [c151]Adnan Haider, Philip C. Woodland:
Combining Natural Gradient with Hessian Free Methods for Sequence Training. INTERSPEECH 2018: 2918-2922 - [i6]Florian Kreyssig, Chao Zhang, Philip C. Woodland:
Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNs. CoRR abs/1802.06412 (2018) - [i5]Chao Zhang, Philip C. Woodland:
High Order Recurrent Neural Networks for Acoustic Modelling. CoRR abs/1802.08314 (2018) - [i4]Adnan Haider, Philip C. Woodland:
Sequence Training of DNN Acoustic Models With Natural Gradient. CoRR abs/1804.02204 (2018) - [i3]Chao Zhang, Philip C. Woodland:
Semi-tied Units for Efficient Gating in LSTM and Highway Networks. CoRR abs/1806.06513 (2018) - [i2]Adnan Haider, Philip C. Woodland:
Combining Natural Gradient with Hessian Free Methods for Sequence Training. CoRR abs/1810.01873 (2018) - 2017
- [j34]Cai Wingfield, Li Su, Xunying Liu, Chao Zhang, Philip C. Woodland, Andrew Thwaites, Elisabeth Fonteneau, William D. Marslen-Wilson:
Relating dynamic brain states to dynamic machine states: Human and machine solutions to the speech recognition problem. PLoS Comput. Biol. 13(9) (2017) - [j33]Penny Karanasou, Chunyang Wu, Mark J. F. Gales, Philip C. Woodland:
I-Vectors and Structured Neural Networks for Rapid Adaptation of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 818-828 (2017) - [c150]Adnan Haider, Philip C. Woodland:
Sequence training of DNN acoustic models with natural gradient. ASRU 2017: 178-184 - [c149]Chao Zhang, Philip C. Woodland:
Joint optimisation of tandem systems using Gaussian mixture density neural network discriminative sequence training. ICASSP 2017: 5015-5019 - 2016
- [j32]Xunying Liu, Xie Chen, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland:
Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 24(8): 1438-1449 (2016) - [j31]Xie Chen, Xunying Liu, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland:
Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2146-2157 (2016) - [c148]Chao Zhang, Philip C. Woodland:
DNN speaker adaptation using parameterised sigmoid and ReLU hidden activation functions. ICASSP 2016: 5300-5304 - [c147]J. Yang, Chao Zhang, Anton Ragni, Mark J. F. Gales, Philip C. Woodland:
System combination with log-linear models. ICASSP 2016: 5675-5679 - [c146]Linlin Wang, Chao Zhang, Philip C. Woodland, Mark J. F. Gales, Panagiota Karanasou, Pierre Lanchantin, Xunying Liu, Yanmin Qian:
Improved DNN-based segmentation for multi-genre broadcast audio. ICASSP 2016: 5700-5704 - [c145]Xie Chen, Xunying Liu, Y. Qian, Mark J. F. Gales, Philip C. Woodland:
CUED-RNNLM - An open-source toolkit for efficient training and evaluation of recurrent neural network language models. ICASSP 2016: 6000-6004 - [c144]Pierre Lanchantin, Mark J. F. Gales, Penny Karanasou, Xunying Liu, Yanman Qian, Linlin Wang, Philip C. Woodland, Chao Zhang:
Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems. INTERSPEECH 2016: 3057-3061 - [c143]Yanmin Qian, Philip C. Woodland:
Very deep convolutional neural networks for robust speech recognition. SLT 2016: 481-488 - [i1]Yanmin Qian, Philip C. Woodland:
Very Deep Convolutional Neural Networks for Robust Speech Recognition. CoRR abs/1610.00277 (2016) - 2015
- [c142]Xie Chen, Xunying Liu, Mark J. F. Gales, Philip C. Woodland:
Investigation of back-off based interpolation between recurrent neural network and n-gram language models. ASRU 2015: