Enhancing Research with Precise Voice Insights
Voice analysis allows you to extract information beyond linguistics. Go deep into emotion analysis and collect data related to emotion detection (angry, happy, sad, neutral), and emotional valence (arousal, dominance, and valence). Explore fundamental voice features with metrics relating to prosody, including pitch, loudness, speaking rate, and intonation. Get data regarding perceived gender and age.
How does it work?
Any video or recording with someone speaking can be processed with the Voice Analysis Module. This means that not only can you start using this for new research but you can also go back and re-analyze old data – allowing you to uncover new findings or increase the validity of your data set by adding yet another dimension of measurement.
Once the audio has been processed locally you can chose which signals to show in the timeline, allowing for quick visualization of the data.
Powered by audEERING
We have partnered with audEERING to bring this exceptional integration natively into iMotions. The devAIce® models by audEERING come with the Voice Analysis module and all processing runs locally on your own hardware, ensuring privacy and security.
Angry, happy, neutral, sad.
Perceived Gender and Age
Estimate of the age and gender of the speaker based on voice characteristics.
Pitch, Loudness, Speaking Rate, Intonation.
Arousal, Dominance, Valence.
Local Data Processing
All data processing takes place offline on your own hardware ensuring full control.
Clinical research has utilized voice analysis for decades to differentiate between clinical populations. For example, studies have identified voice biomarkers for dysarthric speech, depression, Alzheimer’s Disease and
Social and Behavioral Research
Voice analysis is commonly applied within social and behavioral sciences to better understand how our voice reflects our personality, affects the people around us, or how different factors influence how we perceive other voices.
UX and Computer Science
Voice analysis can greatly enhance our user experience and understanding of voice assistants, security, psychology, and marketing. Helping designers and engineers craft better experiences.