
Neural Synthesis of Binaural Speech From Mono Audio with Alexander Richard - #514
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Advancements in Binaural Audio Synthesis
This chapter explores the progress in deep learning techniques for audio, particularly focusing on WaveNet's role in generating realistic speech waveforms. It discusses the challenges of binaural audio generation, such as sound distortion and timing precision, while introducing neural time warping to improve alignment. The chapter also addresses the impact of physical properties, acoustic environments, and ear shape variability on audio perception in virtual reality applications.
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