Search Results - "Hansen, John H L"

Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles by Liu, Yongkang, Wang, Ziran, Han, Kyungtae, Shou, Zhenyu, Tiwari, Prashant, L. Hansen, John H.

“…With the rapid development of intelligent vehicles and Advanced Driving Assistance Systems (ADAS), a mixed level of human driver engagements is involved in the…”
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International Large-Scale Vehicle Corpora for Research on Driver Behavior on the Road by Takeda, K., Hansen, J. H. L., Boyraz, P., Malta, L., Miyajima, C., Abut, H.

“…This paper considers a comprehensive and collaborative project to collect large amounts of driving data on the road for use in a wide range of areas of…”
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Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis by Gilkerson, Jill, Richards, Jeffrey A, Warren, Steven F, Montgomery, Judith K, Greenwood, Charles R, Kimbrough Oller, D, Hansen, John H L, Paul, Terrance D

“…This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language…”
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Discriminative Training for Multiple Observation Likelihood Ratio Based Voice Activity Detection by Tao Yu, Hansen, John H L

“…It is possible to show that the likelihood ratio (LR) test from multiple observations can enhance the performance of a statically modeled voice actively…”
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Deep Spoken Keyword Spotting: An Overview by Lopez-Espejo, Ivan, Tan, Zheng-Hua, Hansen, John H. L., Jensen, Jesper

“…Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams and has become a fast-growing technology thanks to the paradigm shift…”
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Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples by Wang, Zhenyu, Hansen, John H. L.

“…Advances in automatic speaker verification (ASV) promote research into the formulation of spoofing detection systems for real-world applications. The…”
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Automatic voice onset time detection for unvoiced stops (/ p/,/ t/,/ k/) with application to accent classification by Hansen, John H.L., Gray, Sharmistha S., Kim, Wooil

“…Articulation characteristics of particular phonemes can provide cues to distinguish accents in spoken English. For example, as shown in Arslan and Hansen…”
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Analysis of human scream and its impact on text-independent speaker verification by Hansen, John H L, Nandwana, Mahesh Kumar, Shokouhi, Navid

“…Scream is defined as sustained, high-energy vocalizations that lack phonological structure. Lack of phonological structure is how scream is identified from…”
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A Novel Mask Estimation Method Employing Posterior-Based Representative Mean Estimate for Missing-Feature Speech Recognition by Wooil Kim, Hansen, John H L

“…This paper proposes a novel mask estimation method for missing-feature reconstruction to improve speech recognition performance in various types of background…”
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Automatic analysis of Mandarin accented English using phonological features by Sangwan, Abhijeet, Hansen, John H.L.

“…► This study presents a new model for accent based on phonological features (PFs). ► Pronunciation variations are viewed as different paths in the PFs…”
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Unsupervised Equalization of Lombard Effect for Speech Recognition in Noisy Adverse Environments by Boril, Hynek, Hansen, John H L

“…In the presence of environmental noise, speakers tend to adjust their speech production in an effort to preserve intelligible communication. The noise-induced…”
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A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data by Liu, Yongkang, Hansen, John H. L.

“…Intelligent vehicles and Advanced Driver Assistance Systems (ADAS) are being developed rapidly over the past few years. Many applications such as vehicle…”
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Variational noise model composition through model perturbation for robust speech recognition with time-varying background noise by Kim, Wooil, Hansen, John H.L.

“…► Variational model composition (VMC) method is proposed to address unseen noise. ► Variational models are generated by applying perturbation factors to a…”
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Speaker Identification Within Whispered Speech Audio Streams by Xing Fan, Hansen, J H L

“…Whisper is an alternative speech production mode used by subjects in natural conversation to protect the privacy. Due to the profound differences between…”
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A Study on Universal Background Model Training in Speaker Verification by Hasan, T., Hansen, J. H. L.

“…State-of-the-art Gaussian mixture model (GMM)-based speaker recognition/verification systems utilize a universal background model (UBM), which typically…”
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Mismatch modeling and compensation for robust speaker verification by Lei, Yun, Hansen, John H.L.

“…In this study, primary channel mismatch scenario between enrollment and test conditions in a speaker verification task are analyzed and modeled. A novel…”
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A new perceptually motivated MVDR-based acoustic front-end (PMVDR) for robust automatic speech recognition by Yapanel, Umit H., Hansen, John H.L.

“…Acoustic feature extraction from speech constitutes a fundamental component of automatic speech recognition (ASR) systems. In this paper, we propose a novel…”
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Microphone Array Processing Strategies for Distant-Based Automatic Speech Recognition by Khoubrouy, Soudeh A., Hansen, John H. L.

“…Robust distant speech recognition (DSR) is necessary in many speech technology applications using multiple microphones but has received only limited treatment…”
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Robust Harmonic Features for Classification-Based Pitch Estimation by Wang, Dongmei, Yu, Chengzhu, Hansen, John H. L.

“…Pitch estimation in diverse naturalistic audio streams remains a challenge for speech processing and spoken language technology. In this study, we investigate…”
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Advanced accent/dialect identification and accentedness assessment with multi-embedding models and automatic speech recognition by Ghorbani, Shahram, Hansen, John H. L.

“…The ability to accurately classify accents and assess accentedness in non-native speakers are challenging tasks due primarily to the complexity and diversity…”
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