Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups. As there are many startups working on a variety of applications, we want to share our insights with you. This time, we take a look at 5 promising speech recognition startups.
Heat Map: 5 Top Speech Recognition Startups
For our 5 top picks, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 5 interesting examples out of 109 relevant solutions. Depending on your specific needs, your top picks might look entirely different.
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AudioTelligence – Automotive Assistance
Today’s vehicles are equipped with voice control systems to enhance in-vehicle features, such as navigation, call management, and infotainment. The efficiency of these features, however, depends on the recognition of commands coming from humans as well as accurately interpreting their speech while ignoring ambient noises.
The UK-based startup AudioTelligence develops audio source separation technologies for devices to recognize speech commands. Low latency algorithms remove interfering car noises including traffic sounds, radio, and passenger conversations to recognize speech and increase the effectiveness of voice-controlled devices.
Picovoice – Camera Control
Traditionally, professional cameras were equipped with multiple features to capture images – making them bulky in size. The same features are now available on mobiles, tablets, and other devices, however, configuring them to set up the perfect picture appears time-consuming and leads to missed photo opportunities. Through voice commands and speech recognition, cameras are directed to set to a specific condition saving valuable time.
Picovoice, a startup based in Canada, builds speech software that enables hands-free camera operation. Speech interface-embedded devices further allow users to manage camera settings through voice commands. The startup’s software is compatible with iOS and Android platforms.
Gnani.ai – Quality Assurance
Customer contact center interactions provide valuable insights into customer experience in various industries. However, the manual monitoring and analysis of calls are highly inefficient. Speech recognition software creates an organized repository of unstructured data from these calls and thereby supports companies with enhancing customer satisfaction metrics.
The Indian startup gnani.ai creates a speech-to-text engine that decodes speech and transcribes it in English and multiple Indic languages. The engine also detects dialects and separates the agents from the customers. Using advanced analytics, the engine measures sentiment predicts churn rate and tracks agents’ performance to provide useful insights for management.
Meetscribe – Meeting Assistants
Documenting minutes of a meeting is essential to understand the current state of business and plan the next course of action. Inaccurate documentation has lasting implications – that’s where meeting assistants come in. Meeting assistants transcribe meetings with the help of speech recognition thus allowing participants to focus on the discussion at hand.
The Canada-based startup Meetscribe works on the MeetScribe API to capture meeting notes in real-time using speech recognition technology. The API creates summaries and keywords to keep notes organized while the interface recognizes multiple participants and through sentiment analysis helps understand the overall tone of the meeting.
Speak – Language Training
Language training normally involves consistent practice and regular feedback and, additionally, classroom training limits the capacities based on infrastructure and trainer availability. Voice recognition software provides trainees the flexibility to assess their skills when required and receive instant feedback. This leads to reduced turn-around-time for training and provides quicker results.
Speak, a startup from South Korea, creates an Artificial Intelligence (AI)-based application that provides tutorship in conversational English. Using voice recognition, the app analyzes speech and provides instant feedback allowing users to practice effectively compared to traditional classroom environments.
What About The Other 104 Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 5 speech recognition startups showcased above are promising examples out of 109 we analyzed for this article. To identify the most relevant solutions based on your specific criteria, get in touch.
