A. W. F. Huggins

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This paper presents an excitation source model for speech compression and synthesis, which allows for a degree of voicing by mixing voiced (pulse) and unvoiced (noise) excitations in a frequency—selective manner. The mix is achieved by dividing the speech spectrum into two regions, with the pulse source exciting the low—frequency region and the noise source(More)
In the 1990s numerous winter orographic cloud seeding experiments were conducted over Utah’s Wasatch Plateau. Several previously published case studies successfully documented the physical response in clouds and precipitation to ground-based seeding with silver iodide and liquid propane. A previously unpublished case study that shows additional evidence of(More)
Topography is one of the most important local elements that controls the amount, spatial distribution and occurrence of precipitation. This is particularly true for the wintertime precipitation in the western United States that has a large impact on the local hydrologic cycle. Large mountain barriers such as the Sierra Nevada (average crest height of 2.2(More)
A new approach is described for the design of speech materials used in subjective speech quality evaluation. Speech sounds are classified by their acoustic properties, and sentences are composed so as to concentrate all sounds with similar properties within one sentence. As a test of the method, subjective quality data were collected, using both a rank(More)
The issue of how to support situation awareness among crews of modem commercial aircraft is becoming especially important with the introduction of automation in the form of sophisticated flight management computers and expert systems designed to assist the crew. In this paper, cognitive theories are discussed that have relevance for the definition and(More)
Real-world applications using speech recognition must perform well over a range of dialects. Di erences in dialect between the speakers in the training database and the target users often leads to degraded recognition performance. For the BBN Hark Hidden Markov Model (HMM) based system, we have already developed a reasonably e ective technique [1] for(More)