38% of a message lies in the tone of voice. However, emotional information leaked through voice tone cannot be altered or hidden; as a result, tone is the number one passive indicator of what someone is thinking. When vital components of human communication, such as voice tone, are excluded from interpretation and analysis, valuable information is lost, and uninformed decisions are made. Here’s how we breakdown uncovering the power of tonal intelligence.
Thanks to products like Alexa, Siri, Google Assistant and many more, voice technology is accessible to the masses at the push of a button or a quick voice command. While these platforms are good at understanding the meaning behind our words, the experience is oftentimes frustrating. Think about the last time you had to call your bank and interact with a voice bot on the other end. Enough said. These existing technologies are tone-deaf. Commands may be understood, but tone is not.
Voice technology is a rapidly evolving space that is altering the way we interact with technology both at the consumer and corporate levels. To Improve the experience with greater seamlessness, organizations must incorporate the power of tonal intelligence into the mix.
Unlock the Emotional Dimension of AI Through Tonal Intelligence
Sometimes changes in the tone of voice can be glaringly obvious. For example, someone wins an award and upon delivering their acceptance speech, you hear the voice tremble. On the other hand, what about those complicated situations where it can be harder to deduce important meaning from tone of voice? More often than not, this is the norm.
Take the world of investing – a high-stakes example. Daily, billions of dollars are traded systematically without taking into account executives’ voice tone from those companies’ investors trade on. And daily, important public presentations – earnings calls, interviews, conferences and more – are given by those exact executives. A worrisome notion when it is well-known that a CEO alone can account for up to 45% of a company’s performance. When executives are trained to stick to the script, deep sensing voice tone analysis can unveil the curtain. With this new category of alternative data, a market projected to reach over 149 billion USD by 2030 from 2.9 in 2021, investors can draw new insights and incorporate them into existing strategies.
Helios Life Enterprises – Voice AI startup out of New York – is tackling this exact disconnect. Helios’ bionic ear and intelligence engine interprets the nuances in an individual’s voice to create valuable insights from audio such as discordance between voice tone and word choice, forecast implied volatility and many more. By analyzing the way executives speak, investors gain greater transparency and a broader market picture. Events, such as the FTX collapse, have greatly increased the need for transparency in executives, companies, and the financial markets.
Investors cannot continue to operate in a tone-deaf environment. Neither can call centers when dealing with frustrated customers, marketers looking for greater engagement and personalization, advertisers who want production cost savings and an improved audience understanding, or doctors when diagnosing patients with disorders such as Parkinson’s disease and depression. The use cases across industries are varied and each important in their own right.
By stepping away from text and towards the vocal nuances found in voice tone, we step into a rich multi-dimensional human experience.
In the Age of AI, The Future of Voice Points towards Tone
All components of human communication – words, tone of voice, body language and facial expressions – are important pieces to the human intelligence puzzle. If one component is left out, the picture is incomplete. AI and voice technology have the potential to help humans gain a greater emotional awareness. However, today, the tone of voice is unaccounted for the majority of the time. As a result we are missing out on an important human factor.
Voice technology is a rapidly evolving space that is altering the way we interact with technology. The global speech and voice recognition market alone is projected to grow to $ 59.6 Billion by 2030. Advances across Automated Speech Recognition (ASR), Natural Language Processing (NLP) and Machine Learning (ML) along with the data boom and increased accessibility to AI platforms, all contributed to the increased voice capabilities. The possibilities with the technology and power of tonal intelligence are truly limitless.
Information once thought to be unquantifiable is being quantified thanks to advances in voice technology. The innovations continue to develop, and new industries will be touched by tonal insights. As the power of tonal intelligence grows in popularity, leaders across industries must ask themselves, how will tonal insights shape new industries and change existing ones?
