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๐Ÿ” montreal ๐Ÿ“‚ Engineering
Showing 21 results for "montreal" in Engineering
Engineering Preprint PDF DOI

Dynamic Lookahead Distance via Reinforcement Learning-Based Pure Pursuit for Autonomous Racing

Mohamed Elgouhary, Amr S. El-Wakeel ยท 2026

Pure Pursuit (PP) is a widely used path-tracking algorithm in autonomous vehicles due to its simplicity and real-time performance. However, its effectiveness is sensitive to the choice of lookahead diโ€ฆ

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Engineering Preprint PDF DOI

Competitive EV charging station location with queues

The Minh Nguyen, Nagisa Sugishita, Margarida Carvalho, Amira Dems ยท 2025

Electric vehicle (EV) public charging infrastructure planning faces significant challenges in competitive markets, where multiple service providers affect congestion and user behavior. This work extenโ€ฆ

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Engineering Preprint PDF DOI

BFA: Real-time Multilingual Text-to-speech Forced Alignment

Abdul Rehman, Jingyao Cai, Jian-Jun Zhang, Xiaosong Yang ยท 2025

We present Bournemouth Forced Aligner (BFA), a system that combines a Contextless Universal Phoneme Encoder (CUPE) with a connectionist temporal classification (CTC)based decoder. BFA introduces expliโ€ฆ

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Engineering Preprint PDF DOI

Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment

Rotem Rousso, Eyal Cohen, Joseph Keshet, Eleanor Chodroff ยท 2024

Forced alignment (FA) plays a key role in speech research through the automatic time alignment of speech signals with corresponding text transcriptions. Despite the move towards end-to-end architecturโ€ฆ

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Engineering Preprint PDF DOI

TIPAA-SSL: Text Independent Phone-to-Audio Alignment based on Self-Supervised Learning and Knowledge Transfer

Noe Tits, Prernna Bhatnagar, Thierry Dutoit ยท 2024

In this paper, we present a novel approach for text independent phone-to-audio alignment based on phoneme recognition, representation learning and knowledge transfer. Our method leverages a self-superโ€ฆ

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Engineering Preprint PDF DOI

Less Peaky and More Accurate CTC Forced Alignment by Label Priors

Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur ยท 2024

Connectionist temporal classification (CTC) models are known to have peaky output distributions. Such behavior is not a problem for automatic speech recognition (ASR), but it can cause inaccurate forcโ€ฆ

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Engineering Preprint PDF DOI

Synthetic Participatory Planning of Shard Automated Electric Mobility Systems

Jiangbo Yu, Graeme McKinley ยท 2024

Unleashing the synergies among rapidly evolving mobility technologies in a multi-stakeholder setting presents unique challenges and opportunities for addressing urban transportation problems. This papโ€ฆ

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Engineering Preprint PDF DOI

The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation

Matthew C. Kelley, Scott James Perry, Benjamin V. Tucker ยท 2023

Forced alignment systems automatically determine boundaries between segments in speech data, given an orthographic transcription. These tools are commonplace in phonetics to facilitate the use of speeโ€ฆ

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Engineering Preprint PDF DOI

End-to-End real time tracking of children's reading with pointer network

Vishal Sunder, Beulah Karrolla, Eric Fosler-Lussier ยท 2023

In this work, we explore how a real time reading tracker can be built efficiently for children's voices. While previously proposed reading trackers focused on ASR-based cascaded approaches, we proposeโ€ฆ

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Engineering Preprint PDF DOI

ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation

Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari Clifford ยท 2022

The classification of sleep stages plays a crucial role in understanding and diagnosing sleep pathophysiology. Sleep stage scoring relies heavily on visual inspection by an expert that is time consumiโ€ฆ

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Engineering Preprint PDF DOI

EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation

Vaibhav Joshi, Sricharan V, Preejith SP, Mohanasankar Sivaprakasam ยท 2022

An electroencephalogram (EEG) signal is currently accepted as a standard for automatic sleep staging. Lately, Near-human accuracy in automated sleep staging has been achievable by Deep Learning (DL) bโ€ฆ

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Engineering Preprint PDF DOI

Hibikino-Musashi@Home 2022 Team Description Paper

Tomoya Shiba, Tomohiro Ono, Shoshi Tokuno, Issei Uchino, Masaya Okamoto, Daiju Kanaoka, Kazutaka Takahashi, Kenta Tsukamoto, Yoshiaki Tsutsumi, Yugo Nakamura, Yukiya Fukuda, Yusuke Hoji, Hayato Amano, Yuma Kubota, Mayu Koresawa, Yoshifumi Sakai, Ryogo Takemoto, Katsunori Tamai, Kazuo Nakahara, Hiroyuki Hayashi, Satsuki Fujimatsu, Akinobu Mizutani, Yusuke Mizoguchi, Yuhei Yoshimitsu, Mayo Suzuka, Ikuya Matsumoto, Yuga Yano, Yuichiro Tanaka, Takashi Morie, Hakaru Tamukoh ยท 2022

Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based in Japan in the Kitakyushu Science and Research Park. Since 2010, we have annually participated in the RoboCup@Home Japan Open cโ€ฆ

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Engineering Preprint PDF DOI

Deep Learning for Sleep Stages Classification: Modified Rectified Linear Unit Activation Function and Modified Orthogonal Weight Initialisation

Akriti Bhusal, Abeer Alsadoon, P.W.C. Prasad, Nada Alsalami, Tarik A. Rashid ยท 2022

Background and Aim: Each stage of sleep can affect human health, and not getting enough sleep at any stage may lead to sleep disorder like parasomnia, apnea, insomnia, etc. Sleep-related diseases coulโ€ฆ

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Engineering Preprint PDF DOI

A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging

Vaibhav Joshi, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam ยท 2021

Automatic Sleep Staging study is presently done with the help of Electroencephalogram (EEG) signals. Recently, Deep Learning (DL) based approaches have enabled significant progress in this area, allowโ€ฆ

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Hibikino-Musashi@Home 2019 Team Description Paper

Yuichiro Tanaka, Yutaro Ishida, Yushi Abe, Tomohiro Ono, Kohei Kabashima, Takuma Sakata, Masashi Fukuyado, Fuyuki Muto, Takumi Yoshii, Kazuki Kanamaru, Daichi Kamimura, Kentaro Nakamura, Yuta Nishimura, Takashi Morie, Hakaru Tamukoh ยท 2020

Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based in the Kitakyushu Science and Research Park, Japan. Since 2010, we have participated in the RoboCup@Home Japan Open competition โ€ฆ

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Engineering Preprint PDF DOI

Hibikino-Musashi@Home 2020 Team Description Paper

Tomohiro Ono, Yuichiro Tanaka, Yutaro Ishida, Yushi Abe, Kazuki Kanamaru, Daichi Kamimura, Kentaro Nakamura, Yuta Nishimura, Shoshi Tokuno, Yuya Mii, Morio Yamauchi, Yuichiro Uemura, Takunori Hashimoto, Yugo Nakamura, Issei Uchino, Daiju Kanaoka, Takeru Hanyu, Kenta Tsukamoto, Takashi Morie, Hakaru Tamukoh ยท 2020

Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based in Japan in the Kitakyushu Science and Research Park. Since 2010, we have annually participated in the RoboCup@Home Japan Open cโ€ฆ

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Engineering Preprint PDF DOI

Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach

Mahya Mirbagheri, Ata Jodeiri, Naser Hakimi, Vahid Zakeri, Seyed Kamaledin Setarehdan ยท 2020

Stress is known as one of the major factors threatening human health. A large number of studies have been performed in order to either assess or relieve stress by analyzing the brain and heart-relatedโ€ฆ

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Engineering Preprint PDF DOI

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

Hafez Farazi, Grzegorz Ficht, Philipp Allgeuer, Dmytro Pavlichenko, Diego Rodriguez, Andre Brandenburger, Mojtaba Hosseini, Sven Behnke ยท 2019

Over the past few years, the Humanoid League rules have changed towards more realistic and challenging game environments, which encourage teams to advance their robot soccer performances. In this papeโ€ฆ

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Engineering Preprint PDF DOI

Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)

Marcus M. Scheunemann, Sander G. van Dijk, Rebecca Miko, Daniel Barry, George M. Evans, Alessandra Rossi, Daniel Polani ยท 2019

We participated in the RoboCup 2018 competition in Montreal with our newly developed BoldBot based on the Darwin-OP and mostly self-printed custom parts. This paper is about the lessons learnt from thโ€ฆ

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Engineering Preprint PDF DOI

Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect data

Orestes Manzanilla-Salazar, Brunilde Sanso ยท 2018

This paper proves the concept that it is feasible to accurately recognize specific human mobility shared patterns, based solely on the connection logs between portable devices and WiFi Access Points (โ€ฆ

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