Speech-to-Text Analysis Feature in iMotions Lab
The Speech-to-Text Analysis feature in iMotions Lab, powered by AssemblyAI, transforms audio recordings into transcribed text, offering valuable insights into spoken content. This feature is designed to analyze the semantic content of speech, focusing on the meaning and sentiment behind the words rather than technical aspects like pitch or tone.
iMotions’ integration with AssemblyAI provides seamless transcription in a wide range of languages, including English (US, British, Australian, and Global), Dutch, French, German, Hindi, Italian, Japanese, Portuguese, and Spanish. For even more versatility, the AssemblyAI nano model supports over 70 languages, including Arabic, Chinese, Russian, and many others.
Beyond transcription, advanced features such as speaker identification and sentiment analysis are available for English-language recordings. This makes it an ideal tool for researchers and organizations seeking to assess verbal communication in a variety of contexts, from customer feedback to academic studies.
To begin using this feature, users need an AssemblyAI account, and processing audio through iMotions is easy and fully integrated within the iMotions platform. Whether analyzing single sessions or large studies, results are stored as annotations, streamlining your analysis workflow.