Development and testing the go-to-market (GTM) strategy for the on-device streaming voice AI generator

Picovoice has recently released Orca Streaming Text-to-Speech, on-device streaming voice generator – enabling developers to add voice to their applications without sacrificing privacy, accuracy, or user experience. Currently, there is no direct competition, but alternatives. The intern will be responsible for developing and testing business development and go-to-market strategy with vertical-specific value propositions and messaging.

Text-to-Speech is a generative AI product and an emerging market after the introduction of Local Language Models (LLMs). Text-to-Speech (TTS) technology converts written text into spoken words. Behind the scenes, TTS engines process and synthesize speech in chunks to turn them into audio humans can listen to. Processing in chunks requires developers to design and set up their products to feed TTS manageable text segments. Since an LLM generates text in a stream, akin to a person typing out a message while TTS waits for the full text or a segment of text to process before starting the speech synthesis, we encounter a challenge: a delay between the text generation and the spoken output, disrupting the flow of real-time interactions between machines and humans.
Orca Streaming Text-to-Speech, built for the LLM-era, processes streaming text input on-device offering low-latency and privacy.

Faculty Supervisor:

James Charbonneau

Student:

Partner:

Picovoice

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program: