Base_JSON/prefixH/json/H89/H89-1025.json

{
    "paper_id": "H89-1025",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T03:31:56.087005Z"
    },
    "title": "Acoustic-Phonetics Based Speech Recognition",
    "authors": [
        {
            "first": "Victor",
            "middle": [
                "W"
            ],
            "last": "Zue",
            "suffix": "",
            "affiliation": {
                "laboratory": "Spoken Language Systems Group Laboratory for Computer Science",
                "institution": "Massachusetts Institute of Technology",
                "location": {}
            },
            "email": ""
        }
    ],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "",
    "pdf_parse": {
        "paper_id": "H89-1025",
        "_pdf_hash": "",
        "abstract": [],
        "body_text": [
            {
                "text": "The objective of this project is to develop a robust and high-performance speech recognitiotl system using a segment-based approach to phonetic recognition. The recognition system will eventually be integrated with natural language processing to achieve spoken lallguagc understanding.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            },
            {
                "text": "Developed a phonetic recognition front-end and achieved 77% and 71% classiilcatiou accuracy under speaker-dependent and -independent conditions, respectively, using a set of 38 context-independent models.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "SUMMA R Y OF ACCOMPLISHMENTS:",
                "sec_num": null
            },
            {
                "text": "Collaborated with researchers at SRI in the development of the MISTRI system, making explicit use of acoustic-phonetic and phonological knowledge.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "SUMMA R Y OF ACCOMPLISHMENTS:",
                "sec_num": null
            },
            {
                "text": "Developed the SUMMIT speech recognition system that incorporates auditory modelling and explicit segmentation, and achieved a speaker-independent accuracy of 87% on the DARPA 1000-word Resource Management task using 75 phoneme models.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "SUMMA R Y OF ACCOMPLISHMENTS:",
                "sec_num": null
            },
            {
                "text": "Developed probabilistic natural language system, TINA, and achieved a test-set coverage of 78% with perplexity of 42 for the Resource Management task.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "SUMMA R Y OF ACCOMPLISHMENTS:",
                "sec_num": null
            },
            {
                "text": "\u2022 Transcribed all 6300 sentences for the TIMIT database.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "SUMMA R Y OF ACCOMPLISHMENTS:",
                "sec_num": null
            },
            {
                "text": "Developed a set of research tools for the DARPA speech research community in ot'dcr to facilitate data collection, parameter computation, statistical analysis, and speech synthesis.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "SUMMA R Y OF ACCOMPLISHMENTS:",
                "sec_num": null
            },
            {
                "text": "Improve the speech recognition performance by incorporating context-dependency ia phoneme modelling.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PLANS:",
                "sec_num": null
            },
            {
                "text": "Integrate TINA into SUMMIT in order to develop spoken language understanding capabilities.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PLANS:",
                "sec_num": null
            },
            {
                "text": "Develop a back-end on the task of a Knowledgeable Navigator, and integrate it with the spoken language system. Begin hardware development, such that the system will soon be able to execute in near real-time.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PLANS:",
                "sec_num": null
            }
        ],
        "back_matter": [],
        "bib_entries": {},
        "ref_entries": {}
    }
}