G10L 19/08 Determination or coding of the excitation function; Determination or coding of the long-term prediction parameters
Introduced: January 2000
Full Title
Full titles differ between systems:
Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis > using predictive techniques > Determination or coding of the excitation function; Determination or coding of the long-term prediction parameters
Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis (in musical instruments G10H) > using predictive techniques > Determination or coding of the excitation function; Determination or coding of the long-term prediction parameters
IPC and CPC are identically structured here. All 7 subcodes exist in both systems.
1 shared codes have differing titles between IPC and CPC.
IPC defines codes here since 2000.
Child Classifications
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- G10L 19/083 the excitation function being an excitation gain (G10L25/90 takes precedence) since 2013 IPC+CPC Available in IPC and CPC
- G10L 19/087 using mixed excitation models, e.g. MELP, MBE, split band LPC or HVXC since 2013 IPC+CPC Available in IPC and CPC
- G10L 19/09 Long term prediction, i.e. removing periodical redundancies, e.g. by using adaptive codebook or pitch predictor since 2013 IPC+CPC Available in IPC and CPC
- G10L 19/097 using prototype waveform decomposition or prototype waveform interpolative [PWI] coders since 2013 IPC+CPC Available in IPC and CPC
- G10L 19/10 the excitation function being a multipulse excitation since 2000 IPC+CPC Available in IPC and CPC
- G10L 19/12 the excitation function being a code excitation, e.g. in code excited linear prediction [CELP] vocoders since 2000 IPC+CPC Available in IPC and CPC
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