Base_JSON/prefixH/json/H89/H89-1023.json

{
    "paper_id": "H89-1023",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T03:32:35.155911Z"
    },
    "title": "Robust Speech Recognition Program Summary",
    "authors": [
        {
            "first": "Clifford",
            "middle": [
                "J"
            ],
            "last": "Weinstein",
            "suffix": "",
            "affiliation": {
                "laboratory": "MIT Lincoln Laboratory",
                "institution": "",
                "location": {}
            },
            "email": ""
        }
    ],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "",
    "pdf_parse": {
        "paper_id": "H89-1023",
        "_pdf_hash": "",
        "abstract": [],
        "body_text": [
            {
                "text": "The Lincoln Laboratory Program in Robust Speech Recognition Technology was initiated in FY85 with the major goal of developing techniques for high-performance speech recognition under the stress and noise conditions typical of the fighter cockpit. After achieving significant advances in robust isolated-word recognition (IWR) during FY85 and FY86, the program evolved in FY87 to the development of robust continuous speech recognition (CSR) techniques for the stressful, limited-task-domain environment typical of the Pilot's Associate. In FY88, the Lincoln CSR work was extended successfully to the large-vocabulary task typical of the Battle Management environment. A major goal of the current program, starting in FY89, is to extend and apply these robust CSR techniques to talker-independent, noisy and distorted speech conditions.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            },
            {
                "text": "The work in recognition in stress and noise produced a robust Hidden Markov Model (HMM) IWR system with 99% speaker-dependent (SD) accuracy for several difficult stress/noise databases, and very high performance for normal speech. Robustness techniques which were developed included multi-style training, robust estimation of parameter variances, use of time-differential speech parameters, and discriminant analysis.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            },
            {
                "text": "More recently, the robust HMM system has been extended to large-vocabulary CSR for both speakerdependent (SD) and speaker-independent (SI) tasks. Performance on the DARPA Resource Management task (991-word vocabulary, perple.xity-60) is 96.5% word accuracy (SD) and 87.5% word accuracy (SI). The robust HMM CSR has Mso been integrated in real-time with a simulated flight task, judged to be very realistic by a number of military pilots. Phrase recognition accuracy on the limited-vocabulary flight task is better than 99.5%.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            },
            {
                "text": "Goals for the current program include: (1) development of robust techniques for talker-independent recognition of noisy and distorted continuous speech; (2) research into the application of speaker recognition strategies to improve speech recognition performance; and (3) continued development and evaluation of CSR techniques on the DARPA Resource Management continuous-speech database.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            }
        ],
        "back_matter": [],
        "bib_entries": {
            "BIBREF0": {
                "ref_id": "b0",
                "title": "Robust HMM-Based Techniques for Recognition of Speech Produced Under Stress and in Noise",
                "authors": [
                    {
                        "first": "D",
                        "middle": [
                            "B"
                        ],
                        "last": "Paul",
                        "suffix": ""
                    },
                    {
                        "first": "R",
                        "middle": [
                            "P"
                        ],
                        "last": "Lippmann",
                        "suffix": ""
                    },
                    {
                        "first": "Y",
                        "middle": [],
                        "last": "Chen",
                        "suffix": ""
                    },
                    {
                        "first": "C",
                        "middle": [
                            "J"
                        ],
                        "last": "Weinstein",
                        "suffix": ""
                    }
                ],
                "year": null,
                "venue": "Proc. DARPA 1986 Speech Recognition Workshop",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "D.B. Paul, R.P. Lippmann, Y. Chen, C.J. Weinstein, \"Robust HMM-Based Techniques for Recognition of Speech Produced Under Stress and in Noise,\" Proc. DARPA 1986 Speech Recognition Workshop.",
                "links": null
            },
            "BIBREF1": {
                "ref_id": "b1",
                "title": "Lincoln Laboratory papers in Proc. DARPA 1987 Speech Recognition Workshop",
                "authors": [],
                "year": null,
                "venue": "",
                "volume": "",
                "issue": "",
                "pages": "82--104",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Lincoln Laboratory papers in Proc. DARPA 1987 Speech Recognition Workshop, pp. 82-104.",
                "links": null
            },
            "BIBREF2": {
                "ref_id": "b2",
                "title": "Speaker Stress-Resistant Continuous Speech Recognition",
                "authors": [
                    {
                        "first": "D",
                        "middle": [
                            "B"
                        ],
                        "last": "Paul",
                        "suffix": ""
                    },
                    {
                        "first": "E",
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                            "A"
                        ],
                        "last": "Martin",
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                    }
                ],
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                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "D.B. Paul and E.A. Martin, \"Speaker Stress-Resistant Continuous Speech Recognition,\" ICASSP'88.",
                "links": null
            },
            "BIBREF3": {
                "ref_id": "b3",
                "title": "The Lincoln Robust Continuous Speech Recognizer",
                "authors": [
                    {
                        "first": "D",
                        "middle": [
                            "B"
                        ],
                        "last": "Paul",
                        "suffix": ""
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                "num": null,
                "urls": [],
                "raw_text": "D.B. Paul, \"The Lincoln Robust Continuous Speech Recognizer,\" ICASSP'89. i",
                "links": null
            }
        },
        "ref_entries": {}
    }
}