voice recognition with smart phone
The voice recognition market is under continued market growth and is expected to reach USD 27.155 billion by 2026, at a CAGR of 16.8% over the forecast period 2021 – 2026, according to Mordor Intelligence.
Voice and speech recognition is technology that assists in receiving and interpreting the human voice and carrying out spoken commands. This type of technology is widely increasing in access to mobile devices and other consumer electronics due to improvements from a variety of capabilities from network improvements, data storage, open API integrations and most notably from Artificial Intelligence.
With the rising use of artificial intelligence (AI) and virtual assistants, such as Apple Siri, Amazon Alexa, Google Assistant, new voice and audio solutions like Clubhouse plus the increased use of online collaboration software like Microsoft Teams, Zoom or Cisco’s Webex, the demand for speech recognition software is accelerating. And we cannot forget about the agile innovators like TikTok, that is a video-focused social networking service owned by Chinese company ByteDance. The explosion of video and audio is ramping up the value of speech recognition AI driven software solutions.
This month, I had the opportunity to interview the CEO and Co-Founder of Assembly.ai, Dylan Fox a brilliant software engineer committed to helping companies build more accurate speech recognition and transcription solutions to unlock richer insights and bring new customer solutions to market. AssemblyAI’s Speech-to-Text API is trusted by Fortune 500s like Dow Jones, NBC Universal, the BBC, startups, and thousands of developers around the world. The company accurately transcribes audio and video files with a simple API. Extract insights like topics, sentiment, and much more.
What Assembly.ai has done is open up the possibilities of enabling deep learning, voice, and sentiment (NLP experts) to be able to access a powerful platform to innovate more cost effectively from but also build a community of voice and speech experts passionate about unlocking the power of our voices.
There are so many benefits that these types of technologies provide to advance our world forward from: increasing productivity in many businesses, such as in healthcare to detect depression, to analyze mood(s), reduce overhead in typing up client sales notes as automatic transcription allows immediate filings from zoom calls, etc, helping those with speech or sight challenges.
I asked Dylan Fox for a couple of his client case studies and he shared that CallRail, an innovative call tracking software, is using Assembly.ai technology to help its clients derive insightful patterns from digital billboard ads and parsing speech patterns from calls into rich consumer market needs, behaviours to advance sales opportunities or help identify new product innovations. MilkVideo.com, another client, has developed a video editing tool, for marketing and sales teams looking to increase quality, quantity and frequency of video content production is using Assembly.ai’s technology to recommend video clips that would have the most value to increase a target buyer’s propensity to purchase.
Other companies pioneering in the voice recognition speech areas, include the world’s number one voice coach, Roger Love, CEO of EmotionalCloud. Roger is bringing his depth of voice into advancing the emotional detection of speech into more accurate voice recognition analytics, not based on natural language methods, rather tapping into the affective computing domains.
Our everyday world as humans relies on our greatest instrument our VOICE to communicate, with increased speech/audio file recordings from our podcasts, our videos, new online tools and increasingly intelligent chat bots, the world will require solutions like Dylan and his engineering team have developed at Assembly.ai to accelerate new products and services that want to tap into these rich speech repositories.
You can also listen to the full podcast interview with Dylan Fox on Youtube here or here
What is important is that board directors and CEO’s need to look across their company operations, and ask some of these questions:
- what is our technology strategy for advancing our speech recognition enablements?
- how many data sources do we have that are speech enabled that could help us secure a competitive advantage?
- what percentage of our products and services are leveraging speech recognition enablements to create new communication channels?
- what are our competitors doing in advancing speech recognition solutions across their ecosystems?
- how many AI enabled solutions do we have leveraging voice, and
- do we have voice speech recognition skills and talents in our organization, etc.
Want more information, read the key facts below on the market growth of audio and video consumption habits in the USA.
According to eMarketer estimates:
- The time US adults spent with digital audio recorded an 8.3% growth for a total of 1 hour, 29 minutes per day.
- Digital audio accounted for 11% of total media time per day for US adults in 2020 and will account for 11.7% in 2021 or 1 hour and 34 minutes per day.
- In 2022, the average time spent listening should rise to 1 hour and 37 minutes per day.
- Active digital audio listeners spent 2 hours and 5 minutes per day on audio in 2020 and will likely add another 5 minutes this year.
- More than 70% of US adults listened to digital audio content at least once a month in 2020 and 91.7% of this occurred via mobile.
Podcasting is a familiar term to around 222 million or 78% of the population in the United States, continuing its significant and steady growth while its overall audience is more diverse than ever.
- About 162 million or 57% of U.S. citizens over 12 listened to a podcast at least once.
- An estimated 116 million or 41% of the U.S. population tunes in monthly.
- The weekly podcast audience includes around 80 million people or 28% of the total U.S. population over 12.
- On average, weekly podcast audiences listen to eight podcasts or 5.1 podcast shows.