Patents by Inventor Francesco NESPOLI

Francesco NESPOLI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Acoustic-environment mismatch and proximity detection with a novel set of acoustic relative features and adaptive filtering
    Patent number: 11835625
    Abstract: A method of performing distance estimation between a first recording device at a first location and a second recording device at a second location includes: estimating acoustic relative transfer function (RTF) between the first recording device and the second recording device for a sound signal, e.g., by applying an improved proportionate normalized least mean square (IPNLMS) filter; and estimating the distance between the first recording device and the second recording device based on the RTF. The at least one acoustic feature extracted from the RTF estimated between the first recording device and the second recording device includes at least one of clarity index, direct-to-reverberant ratio (DRR), and reverberation time. A distributed-gradient-boosting algorithm with regression trees is used in combination with signal-to-reverberation ratio (SRR) and the at least one acoustic feature extracted from the RTF to estimate the distance between the first recording device and the second recording device.
    Type: Grant
    Filed: March 15, 2022
    Date of Patent: December 5, 2023
    Assignee: Microsoft Technology Licensing, LLC.
    Inventors: Francesco Nespoli, Patrick Naylor, Daniel Barreda
  • ACOUSTIC-ENVIRONMENT MISMATCH AND PROXIMITY DETECTION WITH A NOVEL SET OF ACOUSTIC RELATIVE FEATURES AND ADAPTIVE FILTERING
    Publication number: 20230296767
    Abstract: A method of performing distance estimation between a first recording device at a first location and a second recording device at a second location includes: estimating acoustic relative transfer function (RTF) between the first recording device and the second recording device for a sound signal, e.g., by applying an improved proportionate normalized least mean square (IPNLMS) filter; and estimating the distance between the first recording device and the second recording device based on the RTF. The at least one acoustic feature extracted from the RTF estimated between the first recording device and the second recording device includes at least one of clarity index, direct-to-reverberant ratio (DRR), and reverberation time. A distributed-gradient-boosting algorithm with regression trees is used in combination with signal-to-reverberation ratio (SRR) and the at least one acoustic feature extracted from the RTF to estimate the distance between the first recording device and the second recording device.
    Type: Application
    Filed: March 15, 2022
    Publication date: September 21, 2023
    Applicant: NUANCE COMMUNICATIONS, INC.
    Inventors: Francesco NESPOLI, Patrick NAYLOR, Daniel BARREDA