DIFF Subgroup Additional Only
G10H 2250/021 Dynamic programming, e.g. Viterbi, for finding the most likely or most desirable sequence in music analysis, processing or composition
Full Title
Aspects of algorithms or signal processing methods without intrinsic musical character, yet specifically adapted for or used in electrophonic musical processing > Algorithms for electrophonic musical instruments or musical processing, e.g. for automatic composition or resource allocation > Markov chains, e.g. hidden Markov models [HMM], for musical processing, e.g. musical analysis or musical composition > Dynamic programming, e.g. Viterbi, for finding the most likely or most desirable sequence in music analysis, processing or composition
Top Applicants
Top Applicants (IPC)
Class G10,2013–2023, worldwide · Source: EPO PATSTAT
- SAMSUNG ELECTRONICS COMPANY KR 5,218
- GOOGLE US 4,644
- FRAUNHOFER DE 4,601
- SONY CORPORATION JP 2,380
- HUAWEI TECHNOLOGIES COMPANY CN 2,179
- YAMAHA CORPORATION 2,120
- IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 1,974
- MICROSOFT TECHNOLOGY LICENSING US 1,916
- AMAZON TECHNOLOGIES US 1,866
- DOLBY LABORATORIES LICENSING CORPORATION US 1,843
Top Applicants (CPC)
Class G10,2013–2023, worldwide · Source: EPO PATSTAT
- SAMSUNG ELECTRONICS COMPANY KR 6,277
- GOOGLE US 5,429
- FRAUNHOFER DE 4,984
- SONY CORPORATION JP 2,808
- HUAWEI TECHNOLOGIES COMPANY CN 2,577
- MICROSOFT TECHNOLOGY LICENSING US 2,382
- DOLBY LABORATORIES LICENSING CORPORATION US 2,123
- QUALCOMM US 2,117
- IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 2,049
- AMAZON TECHNOLOGIES US 1,924