Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice

Understand

Millions of people reach out to digital assistants such as Siri every day, asking for information, making phone calls, seeking assistance, and much more.

• The expectation is that such assistants should understand the intent of the users query.
• Detecting the intent of a query from a short, isolated utterance is a difficult task.
• Intent cannot always be obtained from speech-recognized transcriptions.