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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

316 related items for PubMed ID: 28320627

  • 1. Maximal Ambient Noise Levels and Type of Voice Material Required for Valid Use of Smartphones in Clinical Voice Research.
    Lebacq J, Schoentgen J, Cantarella G, Bruss FT, Manfredi C, DeJonckere P.
    J Voice; 2017 Sep; 31(5):550-556. PubMed ID: 28320627
    [Abstract] [Full Text] [Related]

  • 2. Smartphones Offer New Opportunities in Clinical Voice Research.
    Manfredi C, Lebacq J, Cantarella G, Schoentgen J, Orlandi S, Bandini A, DeJonckere PH.
    J Voice; 2017 Jan; 31(1):111.e1-111.e7. PubMed ID: 27068549
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  • 4. Combined Use of Standard and Throat Microphones for Measurement of Acoustic Voice Parameters and Voice Categorization.
    Uloza V, Padervinskis E, Uloziene I, Saferis V, Verikas A.
    J Voice; 2015 Sep; 29(5):552-9. PubMed ID: 25795349
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  • 6. Reproducibility of Voice Parameters: The Effect of Room Acoustics and Microphones.
    Bottalico P, Codino J, Cantor-Cutiva LC, Marks K, Nudelman CJ, Skeffington J, Shrivastav R, Jackson-Menaldi MC, Hunter EJ, Rubin AD.
    J Voice; 2020 May; 34(3):320-334. PubMed ID: 30471944
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  • 8. Accuracy of Acoustic Voice Quality Index Captured With a Smartphone - Measurements With Added Ambient Noise.
    Uloza V, Ulozaitė-Stanienė N, Petrauskas T, Kregždytė R.
    J Voice; 2023 May; 37(3):465.e19-465.e26. PubMed ID: 33676807
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  • 9. Automatic Voice Pathology Detection With Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model.
    Ali Z, Elamvazuthi I, Alsulaiman M, Muhammad G.
    J Voice; 2016 Nov; 30(6):757.e7-757.e19. PubMed ID: 26522263
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  • 10. Natural Voice Use in Patients With Voice Disorders and Vocally Healthy Speakers Based on 2 Days Voice Accumulator Information From a Database.
    Södersten M, Salomão GL, McAllister A, Ternström S.
    J Voice; 2015 Sep; 29(5):646.e1-9. PubMed ID: 26073776
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  • 11. An Innovative Voice Analyzer "VA" Smart Phone Program for Quantitative Analysis of Voice Quality.
    Kojima T, Fujimura S, Hori R, Okanoue Y, Shoji K, Inoue M.
    J Voice; 2019 Sep; 33(5):642-648. PubMed ID: 29801970
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  • 12. Testing the reliability of Grade, Roughness and Breathiness scores by means of synthetic speech stimuli.
    Schoentgen J, Fraj S, Lucero JC.
    Logoped Phoniatr Vocol; 2015 Apr; 40(1):5-13. PubMed ID: 24117123
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  • 14. Validity of Acoustic Measures Obtained Using Various Recording Methods Including Smartphones With and Without Headset Microphones.
    Awan SN, Bahr R, Watts S, Boyer M, Budinsky R, Bridge2AI Voice Consortium, Bensoussan Y.
    J Speech Lang Hear Res; 2024 Jun 06; 67(6):1712-1730. PubMed ID: 38749007
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  • 15. Investigation of Voice Pathology Detection and Classification on Different Frequency Regions Using Correlation Functions.
    Al-Nasheri A, Muhammad G, Alsulaiman M, Ali Z.
    J Voice; 2017 Jan 06; 31(1):3-15. PubMed ID: 26992554
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  • 16. The Effect of Microphone Type on Acoustical Measures of Synthesized Vowels.
    Kisenwether JS, Sataloff RT.
    J Voice; 2015 Sep 06; 29(5):548-51. PubMed ID: 25998411
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  • 17. A Comparison of Cepstral Peak Prominence Measures From Two Acoustic Analysis Programs.
    Watts CR, Awan SN, Maryn Y.
    J Voice; 2017 May 06; 31(3):387.e1-387.e10. PubMed ID: 27751661
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  • 18. Using Rate of Divergence as an Objective Measure to Differentiate between Voice Signal Types Based on the Amount of Disorder in the Signal.
    Calawerts WM, Lin L, Sprott JC, Jiang JJ.
    J Voice; 2017 Jan 06; 31(1):16-23. PubMed ID: 26920858
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  • 20. Timing of Voice Therapy: A Primary Investigation of Voice Outcomes for Surgical Benign Vocal Fold Lesion Patients.
    Tang SS, Thibeault SL.
    J Voice; 2017 Jan 06; 31(1):129.e1-129.e7. PubMed ID: 26776951
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