Neural Synthesis of Binaural SpeechDownload PDF

28 Sep 2020 (modified: 25 Jan 2021)ICLR 2021 OralReaders: Everyone
  • Keywords: binaural audio, sound spatialization, neural sound synthesis, binaural speech, speech processing, speech generation
  • Abstract: We present a neural rendering approach for binaural sound synthesis that can produce realistic and spatially accurate binaural sound in realtime. The network takes, as input, a single-channel audio source and synthesizes, as output, two-channel binaural sound, conditioned on the relative position and orientation of the listener with respect to the source. We investigate deficiencies of the l2-loss on raw waveforms in a theoretical analysis and introduce an improved loss that overcomes these limitations. In an empirical evaluation, we establish that our approach is the first to generate spatially accurate waveform outputs (as measured by real recordings) and outperforms existing approaches by a considerable margin, both quantitatively and in a perceptual study. We will release a first-of-its-kind binaural audio dataset as a benchmark for future research.
  • One-sentence Summary: We propose an end-to-end approach to neural binaural sound synthesis that for the first time outperforms DSP-based methods in a qualitative evaluation and in a perceptual study.
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