
handle: 1871/26751
Acoustical voice analysis of laryngectomees is a complicated matter because of the often weak periodicity of the voice and the high noise component. This study consists of a feasibility study and validation of an acoustical tracheoesophageal (TE) voice analysis on a sustained vowel based upon recordings of 66 laryngectomees from four clinics in three European countries. Based on reliability analysis of the acoustical data, TE voices can be objectively divided in three categories: (I) good voices with low-frequency harmonics and noise taking over at the higher frequencies; (II) moderate voices consisting of repetitive bursts of sound energy with low repetition rate and a weak periodicity due to high levels of noise, even at the low frequencies; (III) poor voices with no detectable or very weak fundamental frequency or envelope periodicity. The voice samples from category I and II correlate well with perceptually analyzed voice quality parameters, which supports the robustness and validation of this acoustical analysis method to analyze TE voices.
Speech rehabilitation, Laryngectomy, Tracheoesophageal voice quality, Acoustical voice analysis
Speech rehabilitation, Laryngectomy, Tracheoesophageal voice quality, Acoustical voice analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
