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Ozlem Kalinli
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2020 – today
- 2024
- [c51]Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli:
Contextual Biasing of Named-Entities with Large Language Models. ICASSP 2024: 10151-10155 - [c50]Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra:
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. ICASSP 2024: 10216-10220 - [c49]Zhe Liu, Ozlem Kalinli:
Forgetting Private Textual Sequences in Language Models Via Leave-One-Out Ensemble. ICASSP 2024: 10261-10265 - [c48]Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli:
Recovering from Privacy-Preserving Masking with Large Language Models. ICASSP 2024: 10771-10775 - [c47]Yingyi Ma, Zhe Liu, Ozlem Kalinli:
Correction Focused Language Model Training For Speech Recognition. ICASSP 2024: 10856-10860 - [c46]Jiamin Xie, Ke Li, Jinxi Guo, Andros Tjandra, Yuan Shangguan, Leda Sari, Chunyang Wu, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli:
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of a Multilingual ASR Model. ICASSP 2024: 12201-12205 - [c45]Egor Lakomkin, Chunyang Wu, Yassir Fathullah, Ozlem Kalinli, Michael L. Seltzer, Christian Fuegen:
End-to-End Speech Recognition Contextualization with Large Language Models. ICASSP 2024: 12406-12410 - [c44]Jinxi Guo, Niko Moritz, Yingyi Ma, Frank Seide, Chunyang Wu, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Effective Internal Language Model Training and Fusion for Factorized Transducer Model. ICASSP 2024: 12687-12691 - [c43]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Prompting Large Language Models with Speech Recognition Abilities. ICASSP 2024: 13351-13355 - [c42]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Ke Li, Junteng Jia, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs. NAACL-HLT 2024: 5522-5532 - [i42]Jinxi Guo, Niko Moritz, Yingyi Ma, Frank Seide, Chunyang Wu, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Effective internal language model training and fusion for factorized transducer model. CoRR abs/2404.01716 (2024) - [i41]Gil Keren, Wei Zhou, Ozlem Kalinli:
Token-Weighted RNN-T for Learning from Flawed Data. CoRR abs/2406.18108 (2024) - [i40]Irina-Elena Veliche, Zhuangqun Huang, Vineeth Ayyat Kochaniyan, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Towards measuring fairness in speech recognition: Fair-Speech dataset. CoRR abs/2408.12734 (2024) - [i39]Desh Raj, Gil Keren, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli:
Faster Speech-LLaMA Inference with Multi-token Prediction. CoRR abs/2409.08148 (2024) - [i38]Yufeng Yang, Desh Raj, Ju Lin, Niko Moritz, Junteng Jia, Gil Keren, Egor Lakomkin, Yiteng Huang, Jacob Donley, Jay Mahadeokar, Ozlem Kalinli:
M-BEST-RQ: A Multi-Channel Speech Foundation Model for Smart Glasses. CoRR abs/2409.11494 (2024) - 2023
- [c41]Junteng Jia, Ke Li, Mani Malek, Kshitiz Malik, Jay Mahadeokar, Ozlem Kalinli, Frank Seide:
Joint Federated Learning and Personalization for on-Device ASR. ASRU 2023: 1-8 - [c40]Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer:
Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers. ICASSP 2023: 1-5 - [c39]Ke Li, Jay Mahadeokar, Jinxi Guo, Yangyang Shi, Gil Keren, Ozlem Kalinli, Michael L. Seltzer, Duc Le:
Improving fast-slow Encoder based Transducer with Streaming Deliberation. ICASSP 2023: 1-5 - [c38]Desh Raj, Junteng Jia, Jay Mahadeokar, Chunyang Wu, Niko Moritz, Xiaohui Zhang, Ozlem Kalinli:
Anchored Speech Recognition with Neural Transducers. ICASSP 2023: 1-5 - [c37]Andros Tjandra, Nayan Singhal, David Zhang, Ozlem Kalinli, Abdelrahman Mohamed, Duc Le, Michael L. Seltzer:
Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities. ICASSP 2023: 1-5 - [c36]Mu Yang, Andros Tjandra, Chunxi Liu, David Zhang, Duc Le, Ozlem Kalinli:
Learning ASR Pathways: A Sparse Multilingual ASR Model. ICASSP 2023: 1-5 - [c35]Yassir Fathullah, Chunyang Wu, Yuan Shangguan, Junteng Jia, Wenhan Xiong, Jay Mahadeokar, Chunxi Liu, Yangyang Shi, Ozlem Kalinli, Mike Seltzer, Mark J. F. Gales:
Multi-Head State Space Model for Speech Recognition. INTERSPEECH 2023: 241-245 - [c34]Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer:
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. INTERSPEECH 2023: 1119-1123 - [i37]Yassir Fathullah, Chunyang Wu, Yuan Shangguan, Junteng Jia, Wenhan Xiong, Jay Mahadeokar, Chunxi Liu, Yangyang Shi, Ozlem Kalinli, Mike Seltzer, Mark J. F. Gales:
Multi-Head State Space Model for Speech Recognition. CoRR abs/2305.12498 (2023) - [i36]Shuo Liu, Leda Sari, Chunyang Wu, Gil Keren, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli:
Towards Selection of Text-to-speech Data to Augment ASR Training. CoRR abs/2306.00998 (2023) - [i35]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Prompting Large Language Models with Speech Recognition Abilities. CoRR abs/2307.11795 (2023) - [i34]Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer:
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. CoRR abs/2307.12134 (2023) - [i33]Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli:
Contextual Biasing of Named-Entities with Large Language Models. CoRR abs/2309.00723 (2023) - [i32]Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra:
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models. CoRR abs/2309.01947 (2023) - [i31]Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli:
Recovering from Privacy-Preserving Masking with Large Language Models. CoRR abs/2309.08628 (2023) - [i30]Roshan Sharma, Suyoun Kim, Daniel Lazar, Trang Le, Akshat Shrivastava, Kwanghoon Ahn, Piyush Kansal, Leda Sari, Ozlem Kalinli, Michael L. Seltzer:
Augmenting text for spoken language understanding with Large Language Models. CoRR abs/2309.09390 (2023) - [i29]Egor Lakomkin, Chunyang Wu, Yassir Fathullah, Ozlem Kalinli, Michael L. Seltzer, Christian Fuegen:
End-to-End Speech Recognition Contextualization with Large Language Models. CoRR abs/2309.10917 (2023) - [i28]Jiamin Xie, Ke Li, Jinxi Guo, Andros Tjandra, Yuan Shangguan, Leda Sari, Chunyang Wu, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli:
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model. CoRR abs/2309.13018 (2023) - [i27]Zhe Liu, Ozlem Kalinli:
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble. CoRR abs/2309.16082 (2023) - [i26]Yingyi Ma, Zhe Liu, Ozlem Kalinli:
Correction Focused Language Model Training for Speech Recognition. CoRR abs/2310.11003 (2023) - [i25]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data. CoRR abs/2311.06753 (2023) - 2022
- [c33]Suyoun Kim, Ke Li, Lucas Kabela, Ron Huang, Jiedan Zhu, Ozlem Kalinli, Duc Le:
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition. EMNLP (Findings) 2022: 5717-5722 - [c32]Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. ICASSP 2022: 6107-6111 - [c31]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP 2022: 8197-8201 - [c30]Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer:
Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution. ICASSP 2022: 8277-8281 - [c29]Junteng Jia, Jay Mahadeokar, Weiyi Zheng, Yuan Shangguan, Ozlem Kalinli, Frank Seide:
Federated Domain Adaptation for ASR with Full Self-Supervision. INTERSPEECH 2022: 536-540 - [c28]Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer:
Streaming parallel transducer beam search with fast slow cascaded encoders. INTERSPEECH 2022: 2083-2087 - [c27]Duc Le, Akshat Shrivastava, Paden D. Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer:
Deliberation Model for On-Device Spoken Language Understanding. INTERSPEECH 2022: 3468-3472 - [c26]Suyoun Kim, Duc Le, Weiyi Zheng, Tarun Singh, Abhinav Arora, Xiaoyu Zhai, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric. INTERSPEECH 2022: 3978-3982 - [c25]Weiyi Zheng, Alex Xiao, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed:
Scaling ASR Improves Zero and Few Shot Learning. INTERSPEECH 2022: 5135-5139 - [c24]Chunxi Liu, Yuan Shangguan, Haichuan Yang, Yangyang Shi, Raghuraman Krishnamoorthi, Ozlem Kalinli:
Learning a Dual-Mode Speech Recognition Model VIA Self-Pruning. SLT 2022: 273-279 - [i24]Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. CoRR abs/2201.11867 (2022) - [i23]Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer:
Streaming parallel transducer beam search with fast-slow cascaded encoders. CoRR abs/2203.15773 (2022) - [i22]Junteng Jia, Jay Mahadeokar, Weiyi Zheng, Yuan Shangguan, Ozlem Kalinli, Frank Seide:
Federated Domain Adaptation for ASR with Full Self-Supervision. CoRR abs/2203.15966 (2022) - [i21]Duc Le, Akshat Shrivastava, Paden Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer:
Deliberation Model for On-Device Spoken Language Understanding. CoRR abs/2204.01893 (2022) - [i20]Chunxi Liu, Yuan Shangguan, Haichuan Yang, Yangyang Shi, Raghuraman Krishnamoorthi, Ozlem Kalinli:
Learning a Dual-Mode Speech Recognition Model via Self-Pruning. CoRR abs/2207.11906 (2022) - [i19]Mu Yang, Andros Tjandra, Chunxi Liu, David Zhang, Duc Le, John H. L. Hansen, Ozlem Kalinli:
Learning ASR pathways: A sparse multilingual ASR model. CoRR abs/2209.05735 (2022) - [i18]Desh Raj
, Junteng Jia, Jay Mahadeokar, Chunyang Wu, Niko Moritz, Xiaohui Zhang, Ozlem Kalinli:
Anchored Speech Recognition with Neural Transducers. CoRR abs/2210.11588 (2022) - [i17]Suyoun Kim, Ke Li, Lucas Kabela, Rongqing Huang, Jiedan Zhu, Ozlem Kalinli, Duc Le:
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition. CoRR abs/2211.00174 (2022) - [i16]Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer:
Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers. CoRR abs/2211.00896 (2022) - [i15]Andros Tjandra, Nayan Singhal, David Zhang, Ozlem Kalinli, Abdelrahman Mohamed, Duc Le, Michael L. Seltzer:
Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities. CoRR abs/2211.05756 (2022) - 2021
- [c23]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. ICASSP 2021: 4040-4044 - [c22]Chunyang Wu, Zhiping Xiu, Yangyang Shi, Ozlem Kalinli, Christian Fuegen, Thilo Köhler, Qing He:
Transformer-Based Acoustic Modeling for Streaming Speech Synthesis. Interspeech 2021: 146-150 - [c21]Duc Le, Mahaveer Jain, Gil Keren, Suyoun Kim, Yangyang Shi, Jay Mahadeokar, Julian Chan, Yuan Shangguan, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Michael L. Seltzer:
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. Interspeech 2021: 1772-1776 - [c20]Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding. Interspeech 2021: 1977-1981 - [c19]Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency. Interspeech 2021: 2042-2046 - [c18]Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Flexi-Transducer: Optimizing Latency, Accuracy and Compute for Multi-Domain On-Device Scenarios. Interspeech 2021: 2107-2111 - [c17]Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. Interspeech 2021: 4553-4557 - [c16]Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra:
Collaborative Training of Acoustic Encoders for Speech Recognition. Interspeech 2021: 4573-4577 - [i14]Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding. CoRR abs/2104.02138 (2021) - [i13]Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency. CoRR abs/2104.02176 (2021) - [i12]Duc Le, Mahaveer Jain, Gil Keren, Suyoun Kim, Yangyang Shi, Jay Mahadeokar, Julian Chan, Yuan Shangguan, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Michael L. Seltzer:
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. CoRR abs/2104.02194 (2021) - [i11]Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. CoRR abs/2104.02207 (2021) - [i10]Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios. CoRR abs/2104.02232 (2021) - [i9]Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra:
Collaborative Training of Acoustic Encoders for Speech Recognition. CoRR abs/2106.08960 (2021) - [i8]Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Noisy Training Improves E2E ASR for the Edge. CoRR abs/2107.04677 (2021) - [i7]Dawei Liang, Yangyang Shi, Yun Wang, Nayan Singhal, Alex Xiao, Jonathan Shaw, Edison Thomaz, Ozlem Kalinli, Mike Seltzer:
Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study. CoRR abs/2110.03174 (2021) - [i6]Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer:
Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution. CoRR abs/2110.05241 (2021) - [i5]Suyoun Kim, Duc Le, Weiyi Zheng, Tarun Singh, Abhinav Arora, Xiaoyu Zhai, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric. CoRR abs/2110.05376 (2021) - [i4]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR abs/2110.08352 (2021) - [i3]Alex Xiao, Weiyi Zheng, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed:
Scaling ASR Improves Zero and Few Shot Learning. CoRR abs/2111.05948 (2021) - 2020
- [i2]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. CoRR abs/2011.01156 (2020)
2010 – 2019
- 2019
- [c15]Ozlem Kalinli, Gautam Bhattacharya, Chao Weng:
Parametric Cepstral Mean Normalization for Robust Speech Recognition. ICASSP 2019: 6735-6739 - [c14]Gautam Mantena, Ozlem Kalinli, Ossama Abdel-Hamid, Don McAllaster:
Bandwidth Embeddings for Mixed-Bandwidth Speech Recognition. INTERSPEECH 2019: 3203-3207 - [i1]Gautam Mantena, Ozlem Kalinli, Ossama Abdel-Hamid, Don McAllaster:
Bandwidth Embeddings for Mixed-bandwidth Speech Recognition. CoRR abs/1909.02667 (2019) - 2016
- [c13]Ozlem Kalinli:
Analysis of Multi-Lingual Emotion Recognition Using Auditory Attention Features. INTERSPEECH 2016: 3613-3617 - 2015
- [c12]Mahnoosh Mehrabani, Ozlem Kalinli, Ruxin Chen:
Emotion clustering based on probabilistic linear discriminant analysis. INTERSPEECH 2015: 1314-1318 - 2013
- [c11]Ozlem Kalinli:
Combination of auditory attention features with phone posteriors for better automatic phoneme segmentation. INTERSPEECH 2013: 2302-2305 - 2012
- [c10]Ozlem Kalinli:
Automatic Phoneme Segmentation Using Auditory Attention Features. INTERSPEECH 2012: 2270-2273 - 2011
- [c9]Ozlem Kalinli:
Tone and pitch accent classification using auditory attention cues. ICASSP 2011: 5208-5211 - [c8]Ozlem Kalinli:
Syllable Segmentation of Continuous Speech Using Auditory Attention Cues. INTERSPEECH 2011: 425-428 - 2010
- [j2]Ozlem Kalinli, Michael L. Seltzer, Jasha Droppo
Noise Adaptive Training for Robust Automatic Speech Recognition. IEEE Trans. Speech Audio Process. 18(8): 1889-1901 (2010)
2000 – 2009
- 2009
- [j1]Ozlem Kalinli, Shrikanth S. Narayanan:
Prominence Detection Using Auditory Attention Cues and Task-Dependent High Level Information. IEEE Trans. Speech Audio Process. 17(5): 1009-1024 (2009) - [c7]Ozlem Kalinli, Michael L. Seltzer, Alex Acero:
Noise adaptive training using a vector taylor series approach for noise robust automatic speech recognition. ICASSP 2009: 3825-3828 - [c6]Ozlem Kalinli, Shrikanth S. Narayanan:
Continuous speech recognition using attention shift decoding with soft decision. INTERSPEECH 2009: 1927-1930 - [c5]Ozlem Kalinli, Shiva Sundaram, Shrikanth S. Narayanan:
Saliency-driven unstructured acoustic scene classification using latent perceptual indexing. MMSP 2009: 1-6 - 2008
- [c4]Ozlem Kalinli, Shrikanth S. Narayanan:
A top-down auditory attention model for learning task dependent influences on prominence detection in speech. ICASSP 2008: 3981-3984 - [c3]Ozlem Kalinli, Shrikanth S. Narayanan:
Combining task-dependent information with auditory attention cues for prominence detection in speech. INTERSPEECH 2008: 1064-1067 - 2007
- [c2]Ozlem Kalinli, Shrikanth S. Narayanan:
Early auditory processing inspired features for robust automatic speech recognition. EUSIPCO 2007: 2385-2389 - [c1]Ozlem Kalinli, Shrikanth S. Narayanan:
A saliency-based auditory attention model with applications to unsupervised prominent syllable detection in speech. INTERSPEECH 2007: 1941-1944
Coauthor Index
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