Electrolarynx in voice rehabilitation.

OBJECTIVE Patients of laryngeal cancer who have undergone the surgical removal of the entire larynx suffer the loss of phonation. Electrolarynx (EL) speech is the most commonly adopted alaryngeal phonation. However, EL speech is notorious of the sound quality being monotonic and robotic with the lack of pitch control and the presence of the radiated noise. This paper provides a review of modalities in EL speech as well as introducing the technologies to control the pitch and reduce the noise of the device. METHODS Improvements of EL speech quality have been divided into two parts: improving the sound quality of EL device by applying different enhancement algorithms to reduce the radiated and the additive noise, and implementing pitch-control function to the EL with advanced technology. RESULTS Adaptive filtering and the subtractive-type algorithms have shown to be able to reduce the noise level associated with EL speech. And more mature technologies are showing promise to the making of a hand-free EL system producing more accurate and synchronized pitch and voice onset control. CONCLUSION The advent of micro-technology and human-machine integration promisingly improves EL speech quality and more efficient algorithms enhance EL sound quality. Such improvements apparently improve the intelligibility of EL speech, and thus better quality of life of the EL speakers.

[1]  Parveen Lehana,et al.  Enhancement of alaryngeal speech using spectral subtraction , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

[2]  Yotaro Hatamura,et al.  A voice-generation system using an intramouth vibrator , 2001 .

[3]  J. Gandour,et al.  Perception of contrastive stress in alaryngeal speech , 1982 .

[4]  Human Speech Development for an Implantable Artificial Larynx , 1987, The Annals of otology, rhinology, and laryngology.

[5]  T. Ching,et al.  Communication of lexical tones in Cantonese alaryngeal speech. , 1994, Journal of speech and hearing research.

[6]  B Weinberg,et al.  Low-frequency energy deficit in electrolaryngeal speech. , 1991, Journal of speech and hearing research.

[7]  Joel MacAuslan,et al.  Utilization of microprocessors in voice quality improvement: the electrolarynx , 2000 .

[8]  Kimitaka Kaga,et al.  Alaryngeal speech aid using an intra-oral electrolarynx and a miniature fingertip switch. , 2005, Auris, nasus, larynx.

[9]  B Weinberg,et al.  Voice onset time in Thai alaryngeal speech. , 1987, The Journal of speech and hearing disorders.

[10]  T. Shipp,et al.  Frequency, duration, and perceptual measures in relation to judgments of alaryngeal speech acceptability. , 1967, Journal of speech and hearing research.

[11]  Mingxi Wan,et al.  Aerodynamic characteristics of laryngectomees breathing quietly and speaking with the electrolarynx. , 2004, Journal of voice : official journal of the Voice Foundation.

[12]  J. Gandour,et al.  Vowel length in thai alaryngeal speech. , 1987, Folia phoniatrica.

[13]  J Lerman,et al.  A comparison of the intelligibility of esophageal, electrolaryngeal, and normal speech in quiet and in noise. , 1983, Journal of communication disorders.

[14]  M. Ng,et al.  Fundamental Frequency, Intensity, and Vowel Duration Characteristics Related to Perception of Cantonese Alaryngeal Speech , 2000, Folia Phoniatrica et Logopaedica.

[15]  M HYMAN,et al.  An experimental study of artificial-larynx and esophageal speech. , 1955, The Journal of speech and hearing disorders.

[16]  R. L. McCroskey,et al.  The Relative Intelligibility of Esophageal Speech and Artificial-Larynx Speech , 1963 .

[17]  C Y Espy-Wilson,et al.  Enhancement of electrolaryngeal speech by adaptive filtering. , 1998, Journal of speech, language, and hearing research : JSLHR.

[18]  Mingxi Wan,et al.  Features of Listeners Affecting the Perceptions of Mandarin Electrolaryngeal Speech , 2005, Folia Phoniatrica et Logopaedica.

[19]  A W Knox,et al.  The effects of training in comprehension of electrolaryngeal speech. , 1973, Journal of communication disorders.

[20]  Hanjun Liu,et al.  Application of spectral subtraction method on enhancement of electrolarynx speech. , 2006, The Journal of the Acoustical Society of America.

[21]  E. Bendet,et al.  Rate and Extent of Early Axonal Degeneration of the Human Facial Nerve , 1998, The Annals of otology, rhinology, and laryngology.

[22]  M. Ng,et al.  Speech performance of adult cantonese-speaking laryngectomees using different types of alaryngeal phonation. , 1997, Journal of voice : official journal of the Voice Foundation.

[23]  J. Heinz,et al.  Acoustical and perceptual characteristics of speech produced with an electronic artificial larynx. , 1979, The Journal of the Acoustical Society of America.

[24]  W. Hong,et al.  Functional outcomes following treatment for advanced laryngeal cancer. Part I--Voice preservation in advanced laryngeal cancer. Part II--Laryngectomy rehabilitation: the state of the art in the VA System. Research Speech-Language Pathologists. Department of Veterans Affairs Laryngeal Cancer Study Gr , 1998, The Annals of otology, rhinology & laryngology. Supplement.

[25]  H. -J. Niu,et al.  Enhancement of electrolarynx speech using adaptive noise cancelling based on independent component analysis , 2003, Medical and Biological Engineering and Computing.

[26]  E Lauder,et al.  The laryngectomee and the artificial larynx--a second look. , 1970, The Journal of speech and hearing disorders.

[27]  Tohru Ifukube,et al.  Design of a new electrolarynx having a pitch control function , 1994, Proceedings of 1994 3rd IEEE International Workshop on Robot and Human Communication.

[28]  Robert L. Norton,et al.  Improved Laboratory prototype electrolarynx (LAPEL): Using inverse filtering of the frequency response function of the human throat , 1993, Annals of Biomedical Engineering.

[29]  Garrett B. Stanley,et al.  Design and implementation of a hands-free electrolarynx device controlled by neck strap muscle electromyographic activity , 2004, IEEE Transactions on Biomedical Engineering.

[30]  J. Gandour,et al.  Production of intonation and contrastive stress in electrolaryngeal speech. , 1984, Journal of speech and hearing research.

[31]  Caroline B. Huang,et al.  Enhancement of alaryngeal speech by adaptive filtering , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[32]  H. L. Barney,et al.  An experimental transistorized artificial larynx , 1959 .

[33]  Hanjun Liu,et al.  Enhancement of electrolarynx speech based on auditory masking , 2006, IEEE Transactions on Biomedical Engineering.

[34]  Sridha Sridharan,et al.  Application of noise reduction techniques for alaryngeal speech enhancement , 1997, TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162).

[35]  B Weinberg,et al.  Tone in Thai alaryngeal speech. , 1988, The Journal of speech and hearing disorders.

[36]  M.L. Ng,et al.  Perceptions of Tonal Changes in Normal Laryngeal, Esophageal, and Artificial Laryngeal Male Cantonese Speakers , 1998, Folia Phoniatrica et Logopaedica.

[37]  S. Boll,et al.  Suppression of acoustic noise in speech using spectral subtraction , 1979 .

[38]  Parveen Lehana,et al.  Reduction of Background Noise in Alaryngeal Speech using Spectral Subtraction with Quantile Based Noise Estimation , 2003 .

[39]  J. Watson,et al.  Differences in speaking proficiencies in three laryngectomee groups. , 1985, Archives of otolaryngology.