Helios Comprehend Voice Tone Analysis

Data Feed by Helios Life Enterprises, Inc.

Added to Marketplace: April 27, 2020


Deeper speaker intelligence is now possible through Helios' Comprehend voice tone offering. Executives who are presenting a message have different levels of confidence, belief and other core understandings that can be accessed through voice tone.

To understand how and why the tone of the voice is particularly relevant and valuable in the context of earnings calls, it is helpful to understand how the emotions that underlie voice tone are being produced. While there are different theories of the emotion process, a popular and particularly applicable one is the appraisal theory (Roseman, 1984). According to that theory, voice tone is a response to events given a person’s understanding of specific circumstances (Scherer et al., 2001).

Helios brings this quantified voice tone into a data feed for traders. The opportunity to better understand executive management is now possible.

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Data Feed Details

Helios Comprehend is the first widely available data product that can systematically assess affect in the voice of an executive during earnings conference calls to produce novel and meaningful sources of quantitative information. During earnings conference calls, executives exhibit specific voice-based affect signatures that represent their understanding of company fundamentals. Thus, the affect in their voice may or may not coincide with the specific words they are saying, particularly if the company is under stress. This voice analytics intelligence can provide the difference in information can provide an unparalleled competitive advantage for investors who integrate Helios’s voice API into their investment strategy.

Firm Information

Helios Life Enterprises (HLE) is a pioneer in voice-based tonal analysis. HLE is the first and currently only company to conceive and devise a widely available data platform that delivers systematic analytics of an executive’s voice during critical corporate events. These analytics provide novel information that is useful for predicting future earnings surprises, company performance, and cumulative abnormal returns in the context of M&A events.

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