Speech is essential human behavior. It ties our families and our societies together at the most fundamental level. Speech isn’t easy, however. It takes years to learn, and even modest impairments from unfamiliar accent, noise and reverberation can render it incomprehensible. But when it works, people can harvest an enormous amount of information from a single utterance. From one snippet of speech, we can identify the speaker or at least the speaker’s demographics (gender, age, national origin); we can pick up on emotions; and we can (usually) make out the words. We even pick out clues about the immediate environment of the speaker. It’s a treasure trove of information.
We’re right in the middle of a fundamental technology transformation.
BabbleLabs invents and invests in technologies fundamental to improving our understanding of speech. We enhance the clarity of recorded and transmitted speech. We recognize speech intent. We are extracting an increasing range of insights from speech streams. The volume of speech from billions of people multiplied by the value of speech — especially critical communications within organizations and with customers — creates a huge latent market. The voice and speech recognition market alone is expected to produce $30B in revenue over the next seven years (Tractica 2018). And that is just the tip of the iceberg when it comes to leveraging improved speech communications and analytics.
We’ve done a lot in our first two years.
We have laid a technical foundation of core algorithms, huge datasets ...