Zeyu Jin

Title: Zeyu Jin: Innovator in Spoken Language Recognition and Audio Super Resolution

Introduction

Zeyu Jin is a prominent inventor based in Princeton, NJ, known for his significant contributions to the fields of spoken language recognition and audio processing. With a total of 10 patents to his name, Jin has made remarkable advancements that leverage cutting-edge technology to enhance audio experiences.

Latest Patents

One of Jin's latest patents focuses on spoken language recognition. This technology employs a neural network with an efficient and lightweight architecture to perform recognition tasks. By processing an audio signal that comprises speech, features are generated through the conversion of the audio signal into a normalized spectrogram. These features are then input into the neural network, which consists of one or more convolutional layers and an output activation layer. Each neuron in the output activation layer corresponds to a specific language from a predefined set, generating activation values that indicate the presence of one or more languages in the audio signal.

Another notable patent is related to high fidelity audio super resolution. This innovation involves generating full-band audio from narrowband audio using a GAN-based audio super resolution model. The method includes receiving narrow-band input audio data, upsampling it to create upsampled audio data, and providing this data to an audio super resolution model trained for bandwidth expansion. The result is wide-band output audio data that corresponds to the original narrow-band input.

Career Highlights

Throughout his career, Zeyu Jin has worked with esteemed organizations such as Adobe, Inc. and Princeton University. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking projects in audio technology.

Collaborations

Jin has collaborated with notable colleagues, including Adam Finkelstein and Nicholas J. Bryan. These partnerships have fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Zeyu Jin's work in spoken language recognition and audio super resolution exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to enhancing audio experiences through advanced methodologies. Jin's contributions continue to shape the future of audio processing and recognition technologies.