Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio 45267, USA.
Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati, Cincinnati, Ohio 45267, USA.
J Acoust Soc Am. 2023 Jul 1;154(1):323-333. doi: 10.1121/10.0020176.
Smartphone technology has been used for at-home health monitoring, but there are few available applications (apps) for tracking acoustic measures of voice for those with chronic voice problems. Current apps limit the user by restricting the range of smartphone positions to those that are unnatural and non-interactive. Therefore, we aimed to understand how more natural smartphone positions impacted the accuracy of acoustic measures in comparison to clinically acquired and derived measures. Fifty-six adults (11 vocally healthy, 45 voice disordered, aged 18-80 years) completed voice recordings while holding their smartphones in four different positions (e.g., as if reading from the phone, up to the ear, etc.) while a head-mounted high-quality microphone attached to a handheld acoustic recorder simultaneously captured voice recordings. Comparisons revealed that mean fundamental frequency (Hz), maximum phonation time (s), and cepstral peak prominence (CPP; dB) were not impacted by phone position; however, CPP was significantly lower on smartphone recordings than handheld recordings. Spectral measures (low-to-high spectral ratio, harmonics-to-noise ratio) were impacted by the phone position and the recording device. These results indicate that more natural phone positions can be used to capture specific voice measures, but not all are directly comparable to clinically derived values.
智能手机技术已被用于家庭健康监测，但用于跟踪慢性嗓音问题患者声音声学测量的应用程序（apps）却很少。当前的应用程序通过将智能手机的位置限制为不自然和非交互的位置来限制用户。因此，我们旨在了解与临床获取和推导的测量值相比，更自然的智能手机位置如何影响声学测量的准确性。56 名成年人（11 名嗓音健康，45 名嗓音障碍，年龄 18-80 岁）在四种不同位置（例如，好像在阅读手机，靠近耳朵等）拿着智能手机完成了语音录音，同时附着在手持式声学记录器上的头戴式高质量麦克风同时捕获语音录音。比较结果表明，基频（Hz）、最长发声时间（s）和倒频谱峰突出度（CPP；dB）不受手机位置影响；然而，智能手机录音的 CPP 明显低于手持式录音。频谱测量值（低至高频谱比、谐波与噪声比）受手机位置和录音设备的影响。这些结果表明，更自然的手机位置可以用于捕获特定的语音测量值，但并非所有都可直接与临床推导值进行比较。
