A mock-up of a car dashboard represents an example of where MyVoice.ai expects its technology to be used.

Analytics Insight Ranks Top 10 AI Voice Techcan Start-Ups for 2021

Every year dozens of AI companies are launched around the globe, some of them blowing up into major companies and others fizzling out when problems or glitches with their tech can cause them to be bypassed by investors or by other companies that may want to acquire them or simply their tech.

The 10 start-ups selected by Analyticsinsight.net represent some of the trendiest companies in that realm, particularly since most are working on specific projects that could lead to their use within some of the newest forms of AI-run inventions, from autonomous cars to medical machines to security systems.

Here’s a summary of who they are and what they’re planning, as per the analyticsinsight.net story:

Voca.ai
Voca.ai startup claims to offer natural, human-like conversations so the customers doesn’t know the difference between a human and a machine voice. Its voice agents can handle an unlimited number of calls, helping to easily reach targets,  freeing up human agents for high value and complex conversations. The startup was founded in collaboration with Carnegie Mellon University Corona Voice Detect, for early diagnosis of COVID-19 (Coronavirus).

My Voice Ai
My Voice Ai is unlocking the power of voice using the latest machine learning techniques: speaker identification and sentiment analysis, emotion detection and the real-time evaluation of other speaker characteristics. Its speaker ID tech promises to enable car-sharing companies with authentication, letting users and drivers to share vehicle access easily and securely.

A voice-activated lock is one of the technologies being developed by Myvoice.ai.

PullString (acquired by Apple in 2019)
The San Francisco-based AI startup, started by Pixar execs, helps companies build conversational voice apps. It provides software for voice systems in popular toys like Mattell’s talking “Hello Barbie” doll. On the enterprise end, it helps companies build skills and apps for Amazon’s Alexa platform and Google Assistant. Apple acquired it to accelerate the growth of Siri-powered apps and features.

Chorus.ai
This startup is a cloud-based conversational intelligence platform for sales and customer success teams, built on scoring sales calls using speech recognition and NLP algorithms. Clients can score each call against playbook and sales best practices for sales managers to have a better view of their team. Its sales dialer places calls, records activities and takes call notes through Salesforce.

Voiceitt
Voiceitt is an award-winning speech recognition startup and social enterprise that has developed a proprietary automatic speech recognition (ASR) technology that translates non-standard speech patterns into clear speech in real-time, enabling children and adults with severe speech impairments and disabilities to access mainstream voice-activated technologies.

Voysis (acquired by Apple in 2020)
Voysis, based in Dublin, developed a platform for digital voice assistants to better understand natural language. The startup says that voice-driven natural language interfaces can create more intuitive, efficient, and personalized customer experiences. Voysis says its voice AI platform will play a key role in bringing about this change.

VoiceBase
This San Francisco based start-up unlocks insight from customer conversations with AI-powered voice analytics. Using machine learning and NLP, VoiceBase helps enterprise companies discover, manage and measure sales, service and marketing activities within the call center and across the business. It has partnered with numerous companies like Tableau, Amazon Web Services, The Home Depot, Twilio, Vonage/Nexmo and Nasdaq.

Vokaturi
This startup has developed software that can understand the emotions in a speaker’s voice. It can measure directly from user’s voice whether the person is happy, sad, afraid, angry or has a neutral state of mind. Currently, the open-source version of the software chooses between five emotions with high accuracy, even when it hears the speaker for the first time. The “plus” version of the software is similar to a dedicated human listener.

AISense
AISense’s Ambient Voice Intelligence™ technology, developed with a unique approach to speech recognition and deep learning, they are able to understand human-to-human conversations and provide new innovative services, using its Otter Voice mobile products. Its Otter Voice Notes app transcribes long conversations between multiple people.

Liv.ai
This deep learning-powered speech recognition startup is the only company in India to be able to convert speech to text in nine regional languages including Hindi, Bengali, Punjabi and Tamil, apart from English. Acquired by Flipkart in 2018, it’s expected to help accelerate the end-to-end conversational shopping experience for its users.

read more at analyticsinsight.net