Mouth State Detection From Low-Frequency Ultrasonic Reflection
This paper develops, simulates and experimentally evaluates a novel method based on non-contact low frequency (LF) ultrasound which can determine, from airborne reflection, whether the lips of a subject are open or closed. The method is capable of accurately distinguishing between open and closed li...
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Published in | Circuits, systems, and signal processing Vol. 34; no. 4; pp. 1279 - 1304 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.04.2015
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0278-081X 1531-5878 |
DOI | 10.1007/s00034-014-9904-4 |
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Abstract | This paper develops, simulates and experimentally evaluates a novel method based on non-contact low frequency (LF) ultrasound which can determine, from airborne reflection, whether the lips of a subject are open or closed. The method is capable of accurately distinguishing between open and closed lip states through the use of a low-complexity detection algorithm, and is highly robust to interfering audible noise. A novel voice activity detector is implemented and evaluated using the proposed method and shown to detect voice activity with high accuracy, even in the presence of high levels of background noise. The lip state detector is evaluated at a number of angles of incidence to the mouth and under various conditions of background noise. The underlying mouth state detection technique relies upon an inaudible LF ultrasonic excitation, generated in front of the face of a user, either reflecting back from their face as a simple echo in the closed mouth state or resonating inside the open mouth and vocal tract, affecting the spectral response of the reflected wave when the mouth is open. The difference between echo and resonance behaviours is used as the basis for automated lip opening detection, which implies determining whether the mouth is open or closed at the lips. Apart from this, potential applications include use in voice generation prosthesis for speech impaired patients, or as a hands-free control for electrolarynx and similar rehabilitation devices. It is also applicable to silent speech interfaces and may have use for speech authentication. |
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AbstractList | This paper develops, simulates and experimentally evaluates a novel method based on non-contact low frequency (LF) ultrasound which can determine, from airborne reflection, whether the lips of a subject are open or closed. The method is capable of accurately distinguishing between open and closed lip states through the use of a low-complexity detection algorithm, and is highly robust to interfering audible noise. A novel voice activity detector is implemented and evaluated using the proposed method and shown to detect voice activity with high accuracy, even in the presence of high levels of background noise. The lip state detector is evaluated at a number of angles of incidence to the mouth and under various conditions of background noise. The underlying mouth state detection technique relies upon an inaudible LF ultrasonic excitation, generated in front of the face of a user, either reflecting back from their face as a simple echo in the closed mouth state or resonating inside the open mouth and vocal tract, affecting the spectral response of the reflected wave when the mouth is open. The difference between echo and resonance behaviours is used as the basis for automated lip opening detection, which implies determining whether the mouth is open or closed at the lips. Apart from this, potential applications include use in voice generation prosthesis for speech impaired patients, or as a hands-free control for electrolarynx and similar rehabilitation devices. It is also applicable to silent speech interfaces and may have use for speech authentication. |
Author | McLoughlin, Ian Vince Song, Yan |
Author_xml | – sequence: 1 givenname: Ian Vince surname: McLoughlin fullname: McLoughlin, Ian Vince email: ivm@ustc.edu.cn organization: National Engineering Laboratory of Speech and Language Information Processing, The University of Science & Technology of China – sequence: 2 givenname: Yan surname: Song fullname: Song, Yan organization: National Engineering Laboratory of Speech and Language Information Processing, The University of Science & Technology of China |
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Cites_doi | 10.1121/1.384768 10.1109/LSP.2007.896450 10.1016/0167-6393(94)00045-C 10.1088/0957-0233/8/10/012 10.1121/1.3075589 10.1016/j.pbiomolbio.2012.01.004 10.1109/TASLP.2014.2335055 10.1109/HUICS.1998.659965 10.1109/TASL.2006.872619 10.5772/8538 10.1016/S1350-4533(02)00062-0 10.1109/ISCCSP.2012.6217814 10.1017/CBO9780511609640 10.1121/1.415960 10.1016/j.specom.2009.11.003 10.1007/3-540-61123-1_154 10.1121/1.1912593 10.1007/978-90-481-8776-8_51 |
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Keywords | Speech activity detection Voice activity detection Low frequency ultrasound Mouth state detection Lip state detection |
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References | JorgensenCDusanSSpeech interfaces based upon surface electromyographySpeech Commun.201052435436610.1016/j.specom.2009.11.003 KalgaonkarKHuRRajBUltrasonic doppler sensor for voice activity detectionIEEE Signal Process. Lett.2007141075475710.1109/LSP.2007.896450 I.V. McLoughlin, F. Ahmadi, A new mechanical index for gauging the human bioeffects of low frequency ultrasound, in Proceedings of the IEEE Engineering in Medicine and Biology Conference, (2013), pp. 1964–1967 H.R. Sharifzadeh, I.V. McLoughlin, F. Ahmadi, Speech rehabilitation methods for laryngectomised patients, in Electronic Engineering and Computing Technology, vol. 60, Lecture Notes in Electrical Engineering, ed. by S.I. Ao, L. Gelman (Springer, Netherlands, 2010), pp. 597–607 J.A. Zagzebski, Essentials of Ultrasound Physics (Mosby, Elsevier, St. Louis, 1996) F. Ahmadi, I.V. McLoughlin, H.R. Sharifzadeh, Autoregressive modelling for linear prediction of ultrasonic speech, in INTERSPEECH, (2010), pp. 1616–1619 G.L. Calhoun, G.R. McMillan, Hands-free input devices for wearable computers, in Proceedings of the Fourth Symposium on Human Interaction with Complex Systems, HICS ’98, (IEEE Computer Society 1998) p. 118 TosayaCASliwaJWSignal Injection Coupling into the Human Vocal Tract for Robust Audible and Inaudible Voice Recognition1999United StatesUnited States Patent and Trademark Office VorperianHKWangSChungMKSchimekEMDurtschiRBKentRDZiegertAJGentryLRAnatomic development of the oral and pharyngeal portions of the vocal tract: an imaging studyJ. Acoust. Soc. Am.2009125166610.1121/1.3075589 WolfeJGarnierMSmithJVocal tract resonances in speech, singing and playing musical instrumentsHum. Front. Sci. Progr. J.20093623 M. Brookes, et al., Voicebox: Speech processing toolbox for matlab. Software, available [Mar. 2011] from www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html (1997) RivetBGirinLJuttenCMixing audiovisual speech processing and blind source separation for the extraction of speech signals from convolutive mixturesIEEE Trans. Audio Speech Lang. Process.20071519610810.1109/TASL.2006.872619 LahrRJHead-worn, Trimodal Device to Increase Transcription Accuracy in a Voice Recognition System and to Process Unvocalized Speech2002United StatesUnited States Patent and Trademark Office J. Freitas, A. Teixeira, M.S. Dias, Towards a silent speech interface for Portuguese: surface electromyography and the nasality challenge, in Proceedings of the International Conference on Bio-inspired Systems and Signal Processing BIOSIGNALS 2012 (Vilamoura, Algarve, Portugal, 2012) StoryBHTitzeIRHoffmanEAVocal tract area functions from magnetic resonance imagingJ. Acoust. Soc. Am.19961001 J.-P. Fouque, J. Garnier, G. Papanicolaou, K. Solna, Wave Propagation and Time Reversal in Randomly Layered Media (Springer, 2010) McLoughlinISuper-audible voice activity detectionIEEE/ACM Trans. Audio Speech Lang. Process.20142291424143310.1109/TASLP.2014.2335055 DouglassBGApparatus and Method for Detecting Speech Using Acoustic Signals Outside the Audible Frequency Range2006United StatesUnited States Patent and Trademark Office McLoughlinIVApplied Speech and Audio Processing2009CambridgeCambridge University Press10.1017/CBO9780511609640 EppsJSmithJRWolfeJA novel instrument to measure acoustic resonances of the vocal tract during speechMeas. Sci. Technol.199781112112110.1088/0957-0233/8/10/012 F. Ahmadi, I.V. McLoughlin, The use of low-frequency ultrasonics in speech processing, in Signal Processing, ed. by Sebastian Miron (InTech, 2010). ISBN: 978-953-7619-91-6 I.V. McLoughlin, F. Ahmadi, Method and apparatus for determining mouth state using low frequency ultrasonics. UK Patent Office (pending) (2012) F. Ahmadi, M. Ahmadi, I.V. McLoughlin, Human mouth state detection using low frequency ultrasound, in INTERSPEECH, (2013) pp. 1806–1810 KobMNeuschaefer-RubeCA method for measurement of the vocal tract impedance at the mouthMed. Eng. Phys.20022446747110.1016/S1350-4533(02)00062-0 R. Kaucic, B. Dalton, A. Blake, Real-time lip tracking for audio-visual speech recognition applications, in Computer Vision ECCV ’96, vol. 1065, Lecture Notes in Computer Science, ed. by B. Buxton, R. Cipolla (Springer, Berlin / Heidelberg, 1996), pp. 376–387 Texas Instruments: TIMIT database (Texas Instruments and MIT). a CD-ROM database of phonetically classified recordings of sentences spoken by a number of different male and female speakers (1990) SondhiMMGopinathBDetermination of vocal-tract shape from impulse response at the lipsJ. Acoust. Soc. Am.19714961867187310.1121/1.1912593 F. Ahmadi, I.V. McLoughlin, Measuring resonances of the vocal tract using frequency sweeps at the lips, in 2012 5th International Symposium on Communications Control and Signal Processing (ISCCSP) (2012) S.P. Arjunan, H. Weghorn, D.K. Kumar, W.C. Yau, Vowel recognition of English and German language using facial movement (SEMG) for speech control based HCI, in Proceedings of the HCSNet workshop on Use of vision in human–computer interaction—Volume 56, VisHCI ’06, ( Australian Computer Society, Inc. 2006), pp. 13–18 BeautempsDBadinPLaboissihereRDeriving vocal-tract area functions from midsagittal profiles and formant frequencies: a new model for vowels and fricative consonants based on experimental dataSpeech Commun.199516274710.1016/0167-6393(94)00045-C ZuckerwarAJCrockerMJSpeed of sound in fluidsHandbook of Acoustics1998New YorkWiley AhmadiFMcLoughlinIVChauhanSter HaarGBio-effects and safety of low-intensity, low-frequency ultrasonic exposureProgr. Biophys. Mol. Biol.2012108310.1016/j.pbiomolbio.2012.01.004 B.H. Story, Physiologically-based speech simulation using an enhanced wave-reflection model of the vocal tract (PhD Thesis). The University of Iowa (1995) F. Ahmadi, Voice replacement for the severely speech impaired through sub-ultrasonic excitation of the vocal tract. Ph.D. Thesis, Nanyang Technological University (2013). http://repository.ntu.edu.sg/handle/10356/52661 ErikssonLJHigher order mode effects in circular ducts and expansion chambersJ. Acoust. Soc. Am.198068254555010.1121/1.384768568997 D.J. Sinder, Speech synthesis using an aeroacoustic fricative model (PhD Thesis). The State University of New Jersey (1999) C Jorgensen (9904_CR16) 2010; 52 B Rivet (9904_CR25) 2007; 15 J Epps (9904_CR12) 1997; 8 M Kob (9904_CR19) 2002; 24 D Beautemps (9904_CR8) 1995; 16 RJ Lahr (9904_CR20) 2002 9904_CR23 HK Vorperian (9904_CR33) 2009; 125 9904_CR24 CA Tosaya (9904_CR32) 1999 9904_CR27 9904_CR26 9904_CR1 9904_CR29 9904_CR9 9904_CR7 9904_CR6 9904_CR4 9904_CR3 9904_CR2 BH Story (9904_CR30) 1996; 100 F Ahmadi (9904_CR5) 2012; 108 9904_CR10 BG Douglass (9904_CR11) 2006 9904_CR31 9904_CR14 J Wolfe (9904_CR34) 2009; 3 9904_CR35 9904_CR15 9904_CR18 IV McLoughlin (9904_CR22) 2009 AJ Zuckerwar (9904_CR36) 1998 I McLoughlin (9904_CR21) 2014; 22 K Kalgaonkar (9904_CR17) 2007; 14 LJ Eriksson (9904_CR13) 1980; 68 MM Sondhi (9904_CR28) 1971; 49 |
References_xml | – reference: SondhiMMGopinathBDetermination of vocal-tract shape from impulse response at the lipsJ. Acoust. Soc. Am.19714961867187310.1121/1.1912593 – reference: F. Ahmadi, M. Ahmadi, I.V. McLoughlin, Human mouth state detection using low frequency ultrasound, in INTERSPEECH, (2013) pp. 1806–1810 – reference: S.P. Arjunan, H. Weghorn, D.K. Kumar, W.C. Yau, Vowel recognition of English and German language using facial movement (SEMG) for speech control based HCI, in Proceedings of the HCSNet workshop on Use of vision in human–computer interaction—Volume 56, VisHCI ’06, ( Australian Computer Society, Inc. 2006), pp. 13–18 – reference: JorgensenCDusanSSpeech interfaces based upon surface electromyographySpeech Commun.201052435436610.1016/j.specom.2009.11.003 – reference: WolfeJGarnierMSmithJVocal tract resonances in speech, singing and playing musical instrumentsHum. Front. Sci. Progr. J.20093623 – reference: LahrRJHead-worn, Trimodal Device to Increase Transcription Accuracy in a Voice Recognition System and to Process Unvocalized Speech2002United StatesUnited States Patent and Trademark Office – reference: H.R. Sharifzadeh, I.V. McLoughlin, F. Ahmadi, Speech rehabilitation methods for laryngectomised patients, in Electronic Engineering and Computing Technology, vol. 60, Lecture Notes in Electrical Engineering, ed. by S.I. Ao, L. Gelman (Springer, Netherlands, 2010), pp. 597–607 – reference: KalgaonkarKHuRRajBUltrasonic doppler sensor for voice activity detectionIEEE Signal Process. Lett.2007141075475710.1109/LSP.2007.896450 – reference: R. Kaucic, B. Dalton, A. Blake, Real-time lip tracking for audio-visual speech recognition applications, in Computer Vision ECCV ’96, vol. 1065, Lecture Notes in Computer Science, ed. by B. Buxton, R. Cipolla (Springer, Berlin / Heidelberg, 1996), pp. 376–387 – reference: Texas Instruments: TIMIT database (Texas Instruments and MIT). a CD-ROM database of phonetically classified recordings of sentences spoken by a number of different male and female speakers (1990) – reference: F. Ahmadi, I.V. McLoughlin, Measuring resonances of the vocal tract using frequency sweeps at the lips, in 2012 5th International Symposium on Communications Control and Signal Processing (ISCCSP) (2012) – reference: F. Ahmadi, Voice replacement for the severely speech impaired through sub-ultrasonic excitation of the vocal tract. Ph.D. Thesis, Nanyang Technological University (2013). http://repository.ntu.edu.sg/handle/10356/52661 – reference: G.L. Calhoun, G.R. McMillan, Hands-free input devices for wearable computers, in Proceedings of the Fourth Symposium on Human Interaction with Complex Systems, HICS ’98, (IEEE Computer Society 1998) p. 118 – reference: ErikssonLJHigher order mode effects in circular ducts and expansion chambersJ. Acoust. Soc. Am.198068254555010.1121/1.384768568997 – reference: KobMNeuschaefer-RubeCA method for measurement of the vocal tract impedance at the mouthMed. Eng. Phys.20022446747110.1016/S1350-4533(02)00062-0 – reference: B.H. Story, Physiologically-based speech simulation using an enhanced wave-reflection model of the vocal tract (PhD Thesis). The University of Iowa (1995) – reference: EppsJSmithJRWolfeJA novel instrument to measure acoustic resonances of the vocal tract during speechMeas. Sci. Technol.199781112112110.1088/0957-0233/8/10/012 – reference: McLoughlinIVApplied Speech and Audio Processing2009CambridgeCambridge University Press10.1017/CBO9780511609640 – reference: AhmadiFMcLoughlinIVChauhanSter HaarGBio-effects and safety of low-intensity, low-frequency ultrasonic exposureProgr. Biophys. Mol. Biol.2012108310.1016/j.pbiomolbio.2012.01.004 – reference: VorperianHKWangSChungMKSchimekEMDurtschiRBKentRDZiegertAJGentryLRAnatomic development of the oral and pharyngeal portions of the vocal tract: an imaging studyJ. Acoust. Soc. Am.2009125166610.1121/1.3075589 – reference: J.A. Zagzebski, Essentials of Ultrasound Physics (Mosby, Elsevier, St. Louis, 1996) – reference: ZuckerwarAJCrockerMJSpeed of sound in fluidsHandbook of Acoustics1998New YorkWiley – reference: M. Brookes, et al., Voicebox: Speech processing toolbox for matlab. Software, available [Mar. 2011] from www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html (1997) – reference: McLoughlinISuper-audible voice activity detectionIEEE/ACM Trans. Audio Speech Lang. Process.20142291424143310.1109/TASLP.2014.2335055 – reference: D.J. Sinder, Speech synthesis using an aeroacoustic fricative model (PhD Thesis). The State University of New Jersey (1999) – reference: BeautempsDBadinPLaboissihereRDeriving vocal-tract area functions from midsagittal profiles and formant frequencies: a new model for vowels and fricative consonants based on experimental dataSpeech Commun.199516274710.1016/0167-6393(94)00045-C – reference: DouglassBGApparatus and Method for Detecting Speech Using Acoustic Signals Outside the Audible Frequency Range2006United StatesUnited States Patent and Trademark Office – reference: J.-P. Fouque, J. Garnier, G. Papanicolaou, K. Solna, Wave Propagation and Time Reversal in Randomly Layered Media (Springer, 2010) – reference: TosayaCASliwaJWSignal Injection Coupling into the Human Vocal Tract for Robust Audible and Inaudible Voice Recognition1999United StatesUnited States Patent and Trademark Office – reference: F. Ahmadi, I.V. McLoughlin, The use of low-frequency ultrasonics in speech processing, in Signal Processing, ed. by Sebastian Miron (InTech, 2010). ISBN: 978-953-7619-91-6 – reference: F. Ahmadi, I.V. McLoughlin, H.R. Sharifzadeh, Autoregressive modelling for linear prediction of ultrasonic speech, in INTERSPEECH, (2010), pp. 1616–1619 – reference: I.V. McLoughlin, F. Ahmadi, Method and apparatus for determining mouth state using low frequency ultrasonics. UK Patent Office (pending) (2012) – reference: I.V. McLoughlin, F. Ahmadi, A new mechanical index for gauging the human bioeffects of low frequency ultrasound, in Proceedings of the IEEE Engineering in Medicine and Biology Conference, (2013), pp. 1964–1967 – reference: J. Freitas, A. Teixeira, M.S. Dias, Towards a silent speech interface for Portuguese: surface electromyography and the nasality challenge, in Proceedings of the International Conference on Bio-inspired Systems and Signal Processing BIOSIGNALS 2012 (Vilamoura, Algarve, Portugal, 2012) – reference: StoryBHTitzeIRHoffmanEAVocal tract area functions from magnetic resonance imagingJ. Acoust. Soc. Am.19961001 – reference: RivetBGirinLJuttenCMixing audiovisual speech processing and blind source separation for the extraction of speech signals from convolutive mixturesIEEE Trans. Audio Speech Lang. Process.20071519610810.1109/TASL.2006.872619 – ident: 9904_CR7 – ident: 9904_CR1 – volume: 68 start-page: 545 issue: 2 year: 1980 ident: 9904_CR13 publication-title: J. Acoust. Soc. 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Snippet | This paper develops, simulates and experimentally evaluates a novel method based on non-contact low frequency (LF) ultrasound which can determine, from... |
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SubjectTerms | Algorithms Background noise Circuits and Systems Devices Electrical Engineering Electronics and Microelectronics Engineering Frequencies Instrumentation Mouth Reflection Signal,Image and Speech Processing Speech Ultrasonic technology Ultrasonic testing Voice |
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Title | Mouth State Detection From Low-Frequency Ultrasonic Reflection |
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