NYNEX

About: NYNEX is a based out in . It is known for research contribution in the topics: Telephone network & Halftone. The organization has 79 authors who have published 69 publications receiving 1653 citations.

Bar code use in information, transactional and other system and service applications

Abstract: A system which utilizes a bar code having an instruction field whose data specifies an action to be performed and also having a reference field whose data relates to the data in the instruction field. The system reads the instruction and reference fields of the bar code and processess the read data. This processing may determine from the instruction field data that the action or actions to be taken are to be taken on data other than that in the reference field of the bar code. It also may determine from the data in the instruction field that an action to be taken on the data in the reference field is other than an action identified in the instruction field of the bar code. Based on these determinations, the system continues the processing using the appropriate action and data. A unique bar is also used in the system. This bar code, between its start and stop fields, has a separator field whose width is greater than that of any of the individual bar code characters.

PhoneBook: a phonetically-rich isolated-word telephone-speech database

Abstract: Describes the collection of a phonetically-rich isolated-word telephone-speech database, "PhoneBook", which was undertaken because of (1) the lack of available large-vocabulary isolated-word data, (2) anticipated continued importance of isolated-word and keyword-spotting technology to speech-recognition-based applications over the telephone, and (3) findings that continuous-speech training data is inferior to isolated-word training for isolated-word recognition PhoneBook has nearly 8000 distinct words, selected for complete coverage of phoneme contexts enumerated using both triphones and a novel method which takes into account syllable position, lexical stress, and non-adjacent-phoneme coarticulatory effects PhoneBook consists of more than 92000 utterances, averaging over 11 talkers for each word A demographically-representative set of over 1300 native speakers of American English each made a single telephone call and read 75 words The paper describes the word list design, talker enrolment procedure, recording procedure and equipment, utterance verification method, and summary statistics for PhoneBook, which will be made available through the Linguistic Data Consortium

Neural network model in pattern recognition using probabilistic contextual information

Abstract: A pattern recognition system for recognizing an unknown pattern comprised of symbols which are part of a pattern system which is devoid of inherent context such as numbers. Artificial contextual information based on other than symbol features and the pattern system and in the form of probability weighted expected interpretations are stored and used in the processing phase of recognition. In the system disclosed, the system comprises a neural network whose forward and feedback paths are controlled by the output cells of the network based, in part, on the contextual information.

Rainforest empiricism and quasi‘-rationality: two approaches to objective biodata

Abstract: TWo approaches to objective biodata, designed to achieve the interpretability and stability of rational approaches, yet minimize socially desirable responding, were explored. The first was a quasi-rational attempt to derive biodata analogs to an existing temperament measure, and then use them as rational scales. The second was a theorybased variant of criterion-referenced keying, termed rainforest empiricism. Both were utilized with two consecutive classes of U.S. Military Academy cadets (n= 2,565) to predict leadership performance over four rating periods. The biodata analogs to the temperament measure added incremental validity over the Academy's current admissions package and had significantly smaller correlations with a social desirability scale than their equivalent temperament scales. Scales developed with the rainforest approach had higher incremental validities and lower social desirability. Both methods demonstrated satisfactory stability upon cross-validation, and provided complementary interpretability. Advantages to each approach, and the implications for their use, are discussed.

Optical pattern recognition using detector and locator neural networks

Abstract: A system for performing optical pattern recognition includes a first detector neural network for detecting the presence of a particular optical pattern in an input image and a second locator neural network for locating and/or removing the particular optical pattern from the input image. The detector network and the locator network both comprise nodes which can take on the -1, +1, or undefined states. The nodes are arranged in layers and each node in a layer has a location corresponding to a pixel in the input image. A particular application of this neural network is in finding the amount field on a check and removing the line which borders the amount field.