Zongheng Yang

Title: Zongheng Yang: Innovator in Text-to-Speech Technology

Introduction

Zongheng Yang is a prominent inventor based in Berkeley, California. He has made significant contributions to the field of text-to-speech technology, holding a total of six patents. His work focuses on developing methods and systems that enhance the conversion of text into natural-sounding speech.

Latest Patents

Yang's latest patents include innovative approaches to end-to-end text-to-speech conversion. One of his notable inventions involves methods, systems, and apparatus for generating speech from text. This system utilizes a sequence-to-sequence recurrent neural network to process a sequence of characters in a specific natural language, ultimately generating a spectrogram of the verbal utterance. Another significant patent focuses on synthesizing speech from text using neural networks. This method generates an output sequence of audio data from an input character sequence, employing a decoder neural network and a vocoder neural network to create high-quality audio samples.

Career Highlights

Zongheng Yang is currently employed at Google Inc., where he continues to push the boundaries of speech synthesis technology. His work has been instrumental in advancing the capabilities of artificial intelligence in understanding and generating human-like speech.

Collaborations

Yang collaborates with talented individuals in his field, including Yuxuan Wang and Zhifeng Chen. Their combined expertise contributes to the innovative projects they undertake at Google Inc.

Conclusion

Zongheng Yang's contributions to text-to-speech technology exemplify the impact of innovation in artificial intelligence. His patents reflect a commitment to enhancing communication through advanced speech synthesis methods.