Speech

Speech-Driven Data

Speech-driven devices are already a part of our life. Your Alexa, Portal, and Siri devices work well because of the quality speech data that was captured. The more diversity in data captured from humans, spaces, and scenarios, the better these products work. Many businesses use chatbots to assist customers, and others are exploring the use of speech commands to perform mechanical tasks like opening a garbage can. In the future, you will be able to communicate in any language with a device that can translate the conversation in real-time.

We have extensive experience running initiatives of varied scale to capture accents, dialects, speech patterns, and other speech behavior’s for NLG, NLP and speech recognition applications.

Human speech is one of the first and most important applications of artificial intelligence and machine learning algorithms. However, ensuring accurate, reliable speech data is uniquely challenging. Language nuances and idiosyncrasies can produce core data that is prone to misinterpretation. We are experts in capturing accurate and reliable data related to accents, dialects, cadence, and other speech characteristics at scale for applications including:

• Natural language processing for sentiment analysis of preference recommendations, chatbots/digital assistants and natural language interaction with computers
• Natural language generation that converts data into text and enables computers to convey information accurately in applications, including customer service, report generation, and transaction summaries
• Speech recognition for speech-to-text dictation, interactive voice response systems, and mobile apps