{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11270686","patent":{"patent_number":"US-11270686","title":"Deep language and acoustic modeling convergence and cross training","assignee":null,"inventors":[],"filing_date":"2017-03-28T00:00:00.000Z","publication_date":"2022-03-08T00:00:00.000Z","cpc_codes":["G10L","G10L","G10L","G10L","G10L","G10L","G10L"],"num_claims":25,"abstract":"A model-pair is selected to recognize spoken words in a speech signal generated from a speech, which includes an acoustic model and a language model. A degree of disjointedness between the acoustic model and the language model is computed relative to the speech by comparing a first recognition output produced from the acoustic model and a second recognition output produced from the language model. When the acoustic model incorrectly recognizes a portion of the speech signal as a first word and the language model correctly recognizes the portion of the speech signal as a second word, a textual representation of the second word is determined and associated with a set of sound descriptors to generate a training speech pattern. Using the training speech pattern, the acoustic model is trained to recognize the portion of the speech signal as the second word."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Deep language and acoustic modeling convergence and cross training","description":"A model-pair is selected to recognize spoken words in a speech signal generated from a speech, which includes an acoustic model and a language model. A degree of disjointedness between the acoustic mo","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11270686","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11270686","citation_suggestion":"Patentable. \"Deep language and acoustic modeling convergence and cross training\" (US-11270686). https://patentable.app/patents/US-11270686","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11270686","json":"https://patentable.app/api/llm-context/US-11270686","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:03:36.150Z"}