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1. (WO2019028279) METHODS AND SYSTEMS FOR OPTIMIZING ENGINE SELECTION USING MACHINE LEARNING MODELING
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Pub. No.: WO/2019/028279 International Application No.: PCT/US2018/045051
Publication Date: 07.02.2019 International Filing Date: 02.08.2018
IPC:
G06N 99/00 (2010.01) ,G06N 3/04 (2006.01) ,G06N 5/00 (2006.01) ,G10L 25/24 (2013.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
99
Subject matter not provided for in other groups of this subclass
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
04
Architecture, e.g. interconnection topology
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5
Computer systems utilizing knowledge based models
G PHYSICS
10
MUSICAL INSTRUMENTS; ACOUSTICS
L
SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
25
Speech or voice analysis techniques not restricted to a single one of groups G10L15/-G10L21/129
03
characterised by the type of extracted parameters
24
the extracted parameters being the cepstrum
Applicants:
VERITONE, INC. [US/US]; 575 Anton Boulevard, Suite 100 Costa Mesa, California 92626, US
Inventors:
STEELBERG, Chad; US
NGUYEN, Peter; US
RATHS, Cornelius; US
RIVKIN, Steven N.; US
Agent:
LIU, Joseph K.; US
Priority Data:
62/540,50802.08.2017US
62/633,02320.02.2018US
62/638,74505.03.2018US
Title (EN) METHODS AND SYSTEMS FOR OPTIMIZING ENGINE SELECTION USING MACHINE LEARNING MODELING
(FR) PROCÉDÉS ET SYSTÈMES D'OPTIMISATION DE SÉLECTION DE MOTEURS À L'AIDE D'UNE MODÉLISATION D'APPRENTISSAGE MACHINE
Abstract:
(EN) A system for optimizing selection of transcription engines using a combination of selected machine learning models. The system includes a plurality of preprocessors that generate a plurality of features from a media data set. The system further includes a deep learning neural network model, a gradient boosted machine model and a random forest model used in generating a ranked list of transcription engines. A transcription engine is selected from the ranked list of transcription engines to generate a transcript for the media dataset.
(FR) L'invention concerne un système permettant d'optimiser la sélection de moteurs de transcription à l'aide d'une combinaison de modèles d'apprentissage machine sélectionnés. Le système comprend une pluralité de préprocesseurs qui génèrent une pluralité de caractéristiques à partir d'un ensemble de données multimédias. Le système comprend en outre un modèle de réseau neuronal d'apprentissage profond, un modèle de machine amplifié par gradient et un modèle de forêt aléatoire utilisé dans la génération d'une liste classée de moteurs de transcription. Un moteur de transcription est sélectionné à partir de la liste classée de moteurs de transcription pour générer une transcription pour l'ensemble de données multimédias.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)