Chia-Jung Chang

Title: Innovations of Chia-Jung Chang

Introduction

Chia-Jung Chang is an accomplished inventor based in Cambridge, MA, known for his contributions to acoustic event detection technologies. With a total of three patents to his name, he has made significant strides in the field of audio processing and machine learning.

Latest Patents

One of his latest patents is focused on acoustic event detection. This system includes a first acoustic event detection (AED) component designed to identify a predetermined set of acoustic events. Additionally, it features a second AED component that allows users to configure devices to detect custom acoustic events. Both components are capable of performing task-specific processing and utilize the same acoustic feature data to determine the occurrence of events. Another notable patent involves streaming self-attention in a neural network. This system employs recurrent neural networks (RNNs) to extract features from audio data, using self-attention to highlight the most relevant features for detecting acoustic events. The innovative approach reduces memory usage while processing audio data, enhancing the efficiency of the detection system.

Career Highlights

Chia-Jung Chang is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies in the realm of audio processing. His work has contributed to advancements in how devices interpret and respond to acoustic signals.

Collaborations

He has collaborated with notable colleagues, including Qingming Tang and Ming Sun, who share his passion for innovation in technology.

Conclusion

Chia-Jung Chang's work in acoustic event detection and machine learning exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to enhancing audio processing capabilities, making significant contributions to the field.