声音记录应用探测你的心情

【声音记录应用探测你的心情】情绪分析技术最近几年可谓蓬勃发展,各种app层出不穷,从身体传感器到声音测试工具,像Xpression。这款工具首先录下一小段用户的声音,然后传输给远程服务器。服务器会根据声音大小、声调、讲话节奏、语速总结出情绪的变化,并根据需要传输给心理医生。除此之外,这款应用形成的完整声音记录将有助于心理医生进一步探究影响患者心情的因素。目前这款应用主要针对于抑郁症患者,将来老年痴呆症、儿童注意力缺陷多动障碍、癫痫和帕金森病的患者也可以受益于这款应用。

SMARTPHONE VOICE-TRACKING CHARTS EMOTIONAL STATES

 

Sentiment analysis is one of those buzzwords that seems to have so much to offer. Over the last couple years, we’ve begun to see serious applications of mood detection technology. This can range from body sensors to speech processing tools like EI Technologies’ Xpression, a UK-based company that develops speech recognition software founded by Matt Dobson and Duncan Barclay.


Xpression is for patients visiting psychologists for a mental illness. Oftentimes, they are asked to record their emotions throughout the day and report back to their doctor. This task is often forgotten or not done properly, so Xpression is a new app that uses voice tracking to pinpoint a mood. The app reads a user’s emotion by sending short recordings of her or his voice to a remote server; this server then assesses the mood based on factors like loudness, intensity, pitch, and speech rhythm, ultimately it can sense changes in emotion through voice, record these changes, and forward them to the doctor.


Clinical psychologist Adrian Skinner told The New Scientist that:


with conditions like depression, people tend to stop doing things like filling in mood diaries. If this app gives us more complete diaries it could help us better find the day-to-day triggers that raise or lower a patient’s mood.


This brings up the point that in order for such innovations to work, the user experience is kept fairly passive. That’s why after being installed on the user’s phone, the app samples fragments of audio during a user’s calls. It provides output based on 5 key emotional states including calmness, happiness, sadness, anger, or anxiety.


Articulating the long-term vision for the app, a scientific advisor to EI Technologies told Digital Trends, the system “extract

 acoustic features and let the machine-learning system work it out. Eventually, such analysis will be able to be done within the app itself, removing any need for transmission of snippets of audio.

 
According to Mobile Marketing, while Xpression was initially targeted at patients needing to reflect on their struggle with depression, the app’s developers have further developed the app to address other illnesses such as Alzheimers, ADHD, epilepsy, and Parkinson’s Disease.

文章作者:Plus Aziz 
文章来源:http://www.psfk.com/2013/03/smartphone-emotion-tracking.html


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