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Machine Recognition vs Human Recognition of Voices
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In: DTIC (2012)
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| 3 |
Speaker Clustering for a Mixture of Singing and Reading (Preprint)
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In: DTIC (2012)
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Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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| 5 |
Segregation of Whispered Speech Interleaved with Noise or Speech Maskers
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In: DTIC (2011)
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| 6 |
The SRI NIST 2010 Speaker Recognition Evaluation System (PREPRINT)
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In: DTIC (2011)
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| 7 |
Recovering Asynchronous Watermark Tones from Speech
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In: DTIC (2009)
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| 8 |
The Multi-Session Audio Research Project (MARP) Corpus: Goals, Design and Initial Findings
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In: DTIC (2009)
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| 9 |
Long Term Examination of Intra-Session and Inter-Session Speaker Variability
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In: DTIC (2009)
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| 10 |
Perturbation and Pitch Normalization as Enhancements to Speaker Recognition
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In: DTIC (2009)
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| 11 |
Long Term Examination of Intra-Session and Inter-Session Speaker Variability
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In: DTIC (2009)
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| 12 |
Automating Convoy Training Assessment to Improve Soldier Performance
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In: DTIC (2008)
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| 13 |
Odds of Successful Transfer of Low-level Concepts: A Key Metric for Bidirectional Speech-to-Speech Machine Translation in DARPA's TRANSTAC Program
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In: DTIC (2008)
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| 14 |
Iterated Class-Specific Subspaces for Speaker-Dependent Phoneme Classification
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In: DTIC (2008)
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| 15 |
Listener Detection of Talker Stress in Low-Rate Coded Speech
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In: DTIC (2008)
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Abstract:
We describe an experiment where listeners were asked to detect two specific forms of stress in talkers' recorded voices heard via six different simulated communication systems. Both task-induced stress and dramatized urgency were used. Communication systems included low-rate digital speech coding combined with bit errors, packet loss, and packet loss concealment. Twenty-four listeners participated in a total of 11,520 detection trials. A parallel investigation of word intelligibility in sentence context used 576 trials. Intelligibility results showed wide variance due to communication system and stress detection results showed less variance. More specifically, we found that listener detection of dramatized talker urgency was 4.7 times more robust to communication system degradations than word intelligibility in sentence context. ; See also ADM002091. Presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008) held in Las Vegas, Nevada on 30 March - 4 April 2008. Published in the Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), p4813-4816, 2008. Government or Federal Purpose Rights License. The original document contains color images.
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Keyword:
*CODING; *DETECTION; *SIGNAL PROCESSING; *SPEECH CODING; *SPEECH INTELLIGIBILITY; *SPEECH RECOGNITION; *STRESS DETECTION; *VOICE COMMUNICATIONS; COMMUNICATION AND RADIO SYSTEMS; DEGRADATION; DIGITAL SYSTEMS; DU(DRAMATIZED URGENCY); HUMANS; INTELLIGIBILITY; ITU(INTERNATIONAL TELECOMMUNICATIONS UNION); ITU-T(INTERNATIONAL TELECOMMUNICATIONS UNION TELECOMMUNICATIONS STANDARDS); LOW RATE; Miscellaneous Detection and Detectors; MNRU(MODULATED NOISE REFERENCE UNIT); NTP(NORMALIZED TEST PERFORMANCE); Numerical Mathematics; PCM(PULSE CODE MODULATION); REPRINTS; SIGNAL TO NOISE RATIO; SIMULATION; SNR(SIGNAL TO NOISE RATIO); SPEECH; STRESSES; SUBJECTIVE TESTING; SUSAS(SPEECH UNDER SIMULATED AND ACTUAL STRESS); SYMPOSIA; TALKER STRESS; TIS(TASK INDUCED STRESS); VARIATIONS; Voice Communications; WORDS(LANGUAGE)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA510264
http://www.dtic.mil/docs/citations/ADA510264
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| 16 |
Comparing Evaluation Metrics for Sentence Boundary Detection
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In: DTIC (2007)
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| 17 |
Using Prosody for Automatic Sentence Segmentation of Multi-Party Meetings
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In: DTIC (2006)
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| 18 |
A Methodology to Predict Specific Communication Themes from Overall Communication Volume for Individuals and Teams
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In: DTIC (2006)
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| 19 |
Toward an Interagency Language Roundtable Based Assessment of Speech-to-Speech Translation Capabilities
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In: DTIC (2006)
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| 20 |
The Mixer and Transcript Reading Corpora: Resources for Multilingual, Crosschannel Speaker Recognition Research
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In: DTIC (2006)
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