ISCA Archive Interspeech 2017
ISCA Archive Interspeech 2017

Low-Complexity Pitch Estimation Based on Phase Differences Between Low-Resolution Spectra

Simon Graf, Tobias Herbig, Markus Buck, Gerhard Schmidt

Detection of voiced speech and estimation of the pitch frequency are important tasks for many speech processing algorithms. Pitch information can be used, e.g., to reconstruct voiced speech corrupted by noise.

In automotive environments, driving noise especially affects voiced speech portions in the lower frequencies. Pitch estimation is therefore important, e.g., for in-car-communication systems. Such systems amplify the driver’s voice and allow for convenient conversations with backseat passengers. Low latency is required for this application, which requires the use of short window lengths and short frame shifts between consecutive frames. Conventional pitch estimation techniques, however, rely on long windows that exceed the pitch period of human speech. In particular, male speakers’ low pitch frequencies are difficult to resolve.

In this publication, we introduce a technique that approaches pitch estimation from a different perspective. The pitch information is extracted based on phase differences between multiple low-resolution spectra instead of a single long window. The technique benefits from the high temporal resolution provided by the short frame shift and is capable to deal with the low spectral resolution caused by short window lengths. Using the new approach, even very low pitch frequencies can be estimated very efficiently.

doi: 10.21437/Interspeech.2017-1254

Cite as: Graf, S., Herbig, T., Buck, M., Schmidt, G. (2017) Low-Complexity Pitch Estimation Based on Phase Differences Between Low-Resolution Spectra. Proc. Interspeech 2017, 2316-2320, doi: 10.21437/Interspeech.2017-1254

  author={Simon Graf and Tobias Herbig and Markus Buck and Gerhard Schmidt},
  title={{Low-Complexity Pitch Estimation Based on Phase Differences Between Low-Resolution Spectra}},
  booktitle={Proc. Interspeech 2017},