Amazon Technologies, Inc.

Ruoyu Huang

Stefano Stefani

Vikram Sathyanarayana Anbazhagan

Ashish Singh

Pramod Gurunath

Varun Sembium Varadarajan

Vasanth Philomin

Pu Paul Zhao

Deepikaa Suresh

Vijit Gupta

Katrin Kirchoff

Techniques for streaming real-time automated speech recognition (ASR) are described. A user can stream audio data to a frontend service of the ASR service. The frontend service can establish a bi-directional connection to an audio decoder host to perform ASR on the data stream. The audio decoder host may include a streaming ASR engine which can analyze chunks of the audio data stream using an acoustic model to divide the audio data into words, and a language model to identify sentences made of the words spoken in the audio file. The acoustic model can be trained using short audio sentence data (e.g., on the order of 30 seconds to a few minutes), enabling the transcription service to accurately transcribe short chunks of audio data. The results are then punctuated and normalized. The resulting transcript is then streamed back to the user over the bi-directional connection.

Streaming real-time automatic speech recognition service

Growing community of inventors

Seattle, WA, United States of America

Ruoyu Huang