Amazon Technologies, Inc.

Yixiong Meng

Oguz Hasan Elibol

Roberto Barra Chicote

Andrew Jay Roths

James G Droppo

Zeya Chen

Itay Teller

Jie Liang

Kevin Kwanghoon Ha

Kian Jamali Abianeh

Roger Hau-Bin Cheng

Grzegorz Beringer

Udhgee Murugesan

Chia-Hao Chang

Mansour Ahmadi

Techniques for determining whether audio is machine-outputted or non-machine-outputted are described. A device may receive audio, may process the audio to determine audio data including audio features corresponding to the audio, and may process the audio data to determine audio embedding data. The device may process the audio embedding data to determine whether the audio is machine-outputted or non-machine-outputted. In response to determining that the audio is machine-outputted, then the audio may be discarded or not processed further. Alternatively, in response to determining that the audio is non-machine-outputted (e.g., live speech from a user), then the audio may be processed further (e.g., using ASR processing).

Detecting machine-outputted audio

A speech-processing system receives input data representing text. A first encoder processes segments of the text to determine embedding data representing the text, and a second encoder processes corresponding audio data to determine prosodic data corresponding to the text. The embedding and prosodic data is processed to create output data including a representation of speech corresponding to the text and prosody.

Synthetic speech processing

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Yixiong Meng