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HPSpeech: Silent Speech Interface for Commodity Headphones

Authors:

Devansh Agarwal,

François Guimbretière,

Cheng ZhangAuthors Info & Claims

ISWC '23: Proceedings of the 2023 ACM International Symposium on Wearable Computers

Pages 60 - 65

https://doi.org/10.1145/3594738.3611365

Published: 08 October 2023 Publication History

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Abstract

We present HPSpeech, a silent speech interface for commodity headphones. HPSpeech utilizes the existing speakers of the headphones to emit inaudible acoustic signals. The movements of the temporomandibular joint (TMJ) during speech modify the reflection pattern of these signals, which are captured by a microphone positioned inside the headphones. To evaluate the performance of HPSpeech, we tested it on two headphones with a total of 18 participants. The results demonstrated that HPSpeech successfully recognized 8 popular silent speech commands for controlling the music player with an accuracy over 90%. While our tests use modified commodity hardware (both with and without active noise cancellation), our results show that sensing the movement of the TMJ could be as simple as a firmware update for ANC headsets which already include a microphone inside the hear cup. This leaves us to believe that this technique has great potential for rapid deployment in the near future. We further discuss the challenges that need to be addressed before deploying HPSpeech at scale.

References

[1]

Abdelkareem Bedri, Himanshu Sahni, Pavleen Thukral, Thad Starner, David Byrd, Peter Presti, Gabriel Reyes, Maysam Ghovanloo, and Zehua Guo. 2015. Toward Silent-Speech Control of Consumer Wearables. Computer 48, 10 (2015), 54–62. https://doi.org/10.1109/MC.2015.310

Digital Library

[2]

Lam A. Cheah., James M. Gilbert., Jose A. Gonzalez., Phil D. Green., Stephen R. Ell., Roger K. Moore., and Ed Holdsworth.2018. A Wearable Silent Speech Interface based on Magnetic Sensors with Motion-Artefact Removal. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - BIODEVICES,. INSTICC, SciTePress, 56–62. https://doi.org/10.5220/0006573200560062

[3]

Tuochao Chen, Benjamin Steeper, Kinan Alsheikh, Songyun Tao, François Guimbretière, and Cheng Zhang. 2020. C-Face: Continuously Reconstructing Facial Expressions by Deep Learning Contours of the Face with Ear-Mounted Miniature Cameras. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST ’20). Association for Computing Machinery, New York, NY, USA, 112–125. https://doi.org/10.1145/3379337.3415879

Digital Library

[4]

Bose Corporation. 2023. QuietComfort 45 Noise Cancelling Smart Headphones | Bose. Retrieved May 26, 2023 from https://www.bose.com/en_us/products/headphones/noise_cancelling_headphones/quietcomfort-headphones-45.html

[5]

Tamás Gábor Csapó, Tamás Grósz, Gábor Gosztolya, László Tóth, and Alexandra Markó. 2017. DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface. In Proc. Interspeech 2017. 3672–3676. https://doi.org/10.21437/Interspeech.2017-939

[6]

B. Denby, Y. Oussar, G. Dreyfus, and M. Stone. 2006. Prospects for a Silent Speech Interface using Ultrasound Imaging. In 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, Vol. 1. I–I. https://doi.org/10.1109/ICASSP.2006.1660033

[7]

Jose A. Gonzalez, Lam A. Cheah, Angel M. Gomez, Phil D. Green, James M. Gilbert, Stephen R. Ell, Roger K. Moore, and Ed Holdsworth. 2017. Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning. IEEE/ACM Transactions on Audio, Speech, and Language Processing 25, 12 (2017), 2362–2374. https://doi.org/10.1109/TASLP.2017.2757263

Digital Library

[8]

Robin Hofe, Stephen R. Ell, Michael J. Fagan, James M. Gilbert, Phil D. Green, Roger K. Moore, and Sergey I. Rybchenko. 2013. Small-vocabulary speech recognition using a silent speech interface based on magnetic sensing. Speech Communication 55, 1 (2013), 22–32. https://doi.org/10.1016/j.specom.2012.02.001

Digital Library

[9]

Carl Q Howard, Colin H Hansen, and Anthony C Zander. 2005. A review of current ultrasound exposure limits. The Journal of Occupational Health and Safety of Australia and New Zealand 21, 3 (2005), 253–257.

[10]

Adesso Inc. 2023. Adesso Xtream G1 Gaming Headphones. Retrieved May 26, 2023 from https://www.adesso.com/product/xtream-g1-multimedia-gaming-headphone-headset-with-microphone/

[11]

Adesso Inc. 2023. Competitive Gaming Headset - Razer Kraken. Retrieved May 26, 2023 from https://www.razer.com/gaming-headsets/razer-kraken

[12]

Yincheng Jin, Yang Gao, Xuhai Xu, Seokmin Choi, Jiyang Li, Feng Liu, Zhengxiong Li, and Zhanpeng Jin. 2022. EarCommand: "Hearing" Your Silent Speech Commands In Ear. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, Article 57 (jul 2022), 28 pages. https://doi.org/10.1145/3534613

Digital Library

[13]

Eloi Moliner Juanpere and Tamás Gábor Csapó. 2019. Ultrasound-Based Silent Speech Interface Using Convolutional and Recurrent Neural Networks. Acta Acustica united with Acustica 105, 4 (2019), 587–590.

[14]

Arnav Kapur, Shreyas Kapur, and Pattie Maes. 2018. AlterEgo: A Personalized Wearable Silent Speech Interface. In 23rd International Conference on Intelligent User Interfaces (Tokyo, Japan) (IUI ’18). Association for Computing Machinery, New York, NY, USA, 43–53. https://doi.org/10.1145/3172944.3172977

Digital Library

[15]

Arnav Kapur, Utkarsh Sarawgi, Eric Wadkins, Matthew Wu, Nora Hollenstein, and Pattie Maes. 2020. Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia. In Proceedings of the Machine Learning for Health NeurIPS Workshop(Proceedings of Machine Learning Research, Vol. 116), Adrian V. Dalca, Matthew B.A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, and Brett Beaulieu-Jones (Eds.). PMLR, 25–38. https://proceedings.mlr.press/v116/kapur20a.html

[16]

Myungjong Kim, Beiming Cao, Ted Mau, and Jun Wang. 2017. Speaker-Independent Silent Speech Recognition From Flesh-Point Articulatory Movements Using an LSTM Neural Network. IEEE/ACM Transactions on Audio, Speech, and Language Processing 25, 12 (2017), 2323–2336. https://doi.org/10.1109/TASLP.2017.2758999

Digital Library

[17]

Myungjong Kim, Nordine Sebkhi, Beiming Cao, Maysam Ghovanloo, and Jun Wang. 2018. Preliminary Test of a Wireless Magnetic Tongue Tracking System for Silent Speech Interface. In 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS). 1–4. https://doi.org/10.1109/BIOCAS.2018.8584786

[18]

Naoki Kimura, Tan Gemicioglu, Jonathan Womack, Richard Li, Yuhui Zhao, Abdelkareem Bedri, Alex Olwal, Jun Rekimoto, and Thad Starner. 2021. Mobile, Hands-Free, Silent Speech Texting Using SilentSpeller. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI EA ’21). Association for Computing Machinery, New York, NY, USA, Article 178, 5 pages. https://doi.org/10.1145/3411763.3451552

Digital Library

[19]

Naoki Kimura, Tan Gemicioglu, Jonathan Womack, Richard Li, Yuhui Zhao, Abdelkareem Bedri, Zixiong Su, Alex Olwal, Jun Rekimoto, and Thad Starner. 2022. SilentSpeller: Towards Mobile, Hands-Free, Silent Speech Text Entry Using Electropalatography. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 288, 19 pages. https://doi.org/10.1145/3491102.3502015

Digital Library

[20]

Naoki Kimura, Kentaro Hayashi, and Jun Rekimoto. 2020. TieLent: A Casual Neck-Mounted Mouth Capturing Device for Silent Speech Interaction. In Proceedings of the International Conference on Advanced Visual Interfaces (Salerno, Italy) (AVI ’20). Association for Computing Machinery, New York, NY, USA, Article 33, 8 pages. https://doi.org/10.1145/3399715.3399852

Digital Library

[21]

Naoki Kimura, Michinari Kono, and Jun Rekimoto. 2019. SottoVoce: An Ultrasound Imaging-Based Silent Speech Interaction Using Deep Neural Networks. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–11. https://doi.org/10.1145/3290605.3300376

Digital Library

[22]

Ke Li, Ruidong Zhang, Bo Liang, François Guimbretière, and Cheng Zhang. 2022. EarIO: A Low-Power Acoustic Sensing Earable for Continuously Tracking Detailed Facial Movements. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, Article 62 (jul 2022), 24 pages. https://doi.org/10.1145/3534621

Digital Library

[23]

Richard Li, Jason Wu, and Thad Starner. 2019. TongueBoard: An Oral Interface for Subtle Input. In Proceedings of the 10th Augmented Human International Conference 2019 (Reims, France) (AH2019). Association for Computing Machinery, New York, NY, USA, Article 1, 9 pages. https://doi.org/10.1145/3311823.3311831

Digital Library

[24]

Hiroyuki Manabe, Akira Hiraiwa, and Toshiaki Sugimura. 2003. "Unvoiced Speech Recognition Using EMG - Mime Speech Recognition". In CHI ’03 Extended Abstracts on Human Factors in Computing Systems (Ft. Lauderdale, Florida, USA) (CHI EA ’03). Association for Computing Machinery, New York, NY, USA, 794–795. https://doi.org/10.1145/765891.765996

Digital Library

[25]

Geoffrey S Meltzner, James T Heaton, Yunbin Deng, Gianluca De Luca, Serge H Roy, and Joshua C Kline. 2018. Development of sEMG sensors and algorithms for silent speech recognition. Journal of Neural Engineering 15, 4 (jun 2018), 046031. https://doi.org/10.1088/1741-2552/aac965

[26]

Himanshu Sahni, Abdelkareem Bedri, Gabriel Reyes, Pavleen Thukral, Zehua Guo, Thad Starner, and Maysam Ghovanloo. 2014. The Tongue and Ear Interface: A Wearable System for Silent Speech Recognition. In Proceedings of the 2014 ACM International Symposium on Wearable Computers (Seattle, Washington) (ISWC ’14). Association for Computing Machinery, New York, NY, USA, 47–54. https://doi.org/10.1145/2634317.2634322

Digital Library

[27]

Tanja Schultz. 2010. ICCHP Keynote: Recognizing Silent and Weak Speech Based on Electromyography. In Computers Helping People with Special Needs, Klaus Miesenberger, Joachim Klaus, Wolfgang Zagler, and Arthur Karshmer (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 595–604.

[28]

Tanmay Srivastava, Prerna Khanna, Shijia Pan, Phuc Nguyen, and Shubham Jain. 2022. MuteIt: Jaw Motion Based Unvoiced Command Recognition Using Earable. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 3, Article 140 (sep 2022), 26 pages. https://doi.org/10.1145/3550281

Digital Library

[29]

László Tóth, Gábor Gosztolya, Tamás Grósz, Alexandra Markó, and Tamás Gábor Csapó. 2018. Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces. In Proc. Interspeech 2018. 3172–3176. https://doi.org/10.21437/Interspeech.2018-1078

[30]

You Wang, Ming Zhang, RuMeng Wu, Han Gao, Meng Yang, Zhiyuan Luo, and Guang Li. 2020. Silent Speech Decoding Using Spectrogram Features Based on Neuromuscular Activities. Brain Sciences 10, 7 (2020). https://doi.org/10.3390/brainsci10070442

[31]

Kele Xu, Yuxiang Wu, and Zhifeng Gao. 2019. Ultrasound-Based Silent Speech Interface Using Sequential Convolutional Auto-Encoder. In Proceedings of the 27th ACM International Conference on Multimedia (Nice, France) (MM ’19). Association for Computing Machinery, New York, NY, USA, 2194–2195. https://doi.org/10.1145/3343031.3350596

Digital Library

[32]

Ruidong Zhang, Mingyang Chen, Benjamin Steeper, Yaxuan Li, Zihan Yan, Yizhuo Chen, Songyun Tao, Tuochao Chen, Hyunchul Lim, and Cheng Zhang. 2022. SpeeChin: A Smart Necklace for Silent Speech Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 4, Article 192 (dec 2022), 23 pages. https://doi.org/10.1145/3494987

Digital Library

[33]

Ruidong Zhang, Ke Li, Yihong Hao, Yufan Wang, Zhengnan Lai, François Guimbretière, and Cheng Zhang. 2023. EchoSpeech: Continuous Silent Speech Recognition on Minimally-Obtrusive Eyewear Powered by Acoustic Sensing. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 852, 18 pages. https://doi.org/10.1145/3544548.3580801

Digital Library

[34]

Yongzhao Zhang, Yi-Chao Chen, Haonan Wang, and Xingyu Jin. 2021. CELIP: Ultrasonic-Based Lip Reading with Channel Estimation Approach for Virtual Reality Systems. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (Virtual, USA) (UbiComp ’21). Association for Computing Machinery, New York, NY, USA, 580–585. https://doi.org/10.1145/3460418.3480163

Digital Library

Cited By

Yu THu GZhang RLim HMahmud SLee CLi KAgarwal DNie SOh JGuimbretière FZhang C(2024)Ring-a-Pose: A Ring for Continuous Hand Pose TrackingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997418:4(1-30)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699741
Srivastava TWinters RGable TWang YLaScala TTashev I(2024)Whispering Wearables: Multimodal Approach to Silent Speech Recognition with Head-Worn DevicesProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685720(214-223)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685720
Mahmud SAgarwal DAjit ALiang QViranda TGuimbretiere FZhang CKostakos VKay JHoang T(2024)MunchSonic: Tracking Fine-grained Dietary Actions through Active Acoustic Sensing on EyeglassesProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676619(96-103)Online publication date: 5-Oct-2024
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Index Terms

HPSpeech: Silent Speech Interface for Commodity Headphones
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Speech recognition
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction techniques
      1. Gestural input
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image ACM Conferences

ISWC '23: Proceedings of the 2023 ACM International Symposium on Wearable Computers

October 2023

145 pages

ISBN:9798400701993

DOI:10.1145/3594738

Editors:
Monica Tentori
(CICESE, Mexico)
,
Nadir Weibel
(UC San Diego, USA)
,
Kristof Van Laerhoven
(University of Siegen, Germany)
,
Zhongyi Zhou
(University of Tokyo, Japan)

Copyright © 2023 ACM.

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Published: 08 October 2023

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Short-paper
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Refereed limited

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National Science Foundation

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UbiComp/ISWC '23

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UbiComp/ISWC '23: The 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing

October 8 - 12, 2023

Cancun, Quintana Roo, Mexico

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Overall Acceptance Rate 38 of 196 submissions, 19%

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Cited By

Yu THu GZhang RLim HMahmud SLee CLi KAgarwal DNie SOh JGuimbretière FZhang C(2024)Ring-a-Pose: A Ring for Continuous Hand Pose TrackingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997418:4(1-30)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699741
Srivastava TWinters RGable TWang YLaScala TTashev I(2024)Whispering Wearables: Multimodal Approach to Silent Speech Recognition with Head-Worn DevicesProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685720(214-223)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685720
Mahmud SAgarwal DAjit ALiang QViranda TGuimbretiere FZhang CKostakos VKay JHoang T(2024)MunchSonic: Tracking Fine-grained Dietary Actions through Active Acoustic Sensing on EyeglassesProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676619(96-103)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676619
Pettys-Baker RClarke MHolschuh BKostakos VKay JHoang T(2024)Functional Now, Wearable Later: Examining the Design Practices of Wearable TechnologistsProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676615(71-81)Online publication date: 5-Oct-2024
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Parikh VMahmud SAgarwal DLi KGuimbretière FZhang CKostakos VKay JHoang T(2024)EchoGuide: Active Acoustic Guidance for LLM-Based Eating Event Analysis from Egocentric VideosProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676611(40-47)Online publication date: 5-Oct-2024
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Srivastava TKhanna PPan SNguyen PJain SShu YLiu JTan RHe YChen J(2024)Unvoiced: Designing an LLM-assisted Unvoiced User Interface using EarablesProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699374(784-798)Online publication date: 4-Nov-2024
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Chen TYang YQiu CFan XGuo XShangguan LOkoshi TKo JLiKamWa R(2024)Enabling Hands-Free Voice Assistant Activation on EarphonesProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661890(155-168)Online publication date: 3-Jun-2024
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Li KZhang RChen BChen SYin SMahmud SLiang QGuimbretiere FZhang CGanesan DLane NShi W(2024)GazeTrak: Exploring Acoustic-based Eye Tracking on a Glass FrameProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649376(497-512)Online publication date: 29-May-2024
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Lee CZhang RAgarwal DYu TGunda VLopez OKim JYin SDong BLi KSakashita MGuimbretiere FZhang C(2024)EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a WristbandProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642910(1-21)Online publication date: 11-May-2024
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Li KZhang RChen SChen BSakashita MGuimbretiere FZhang C(2024)EyeEcho: Continuous and Low-power Facial Expression Tracking on GlassesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642613(1-24)Online publication date: 11-May-2024
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