17 results about "Vowel" patented technology

The present invention relates to a system and method configured for analysing acoustic parameters of speech to detect, diagnose, predict and / or monitor progression of a condition, disorder, or disease, and more particularly, any of paediatric and adult neurological and central nervous system conditions including but not limited to low back pain, multiple sclerosis, stroke, seizures, Alzheimer's disease, Parkinson's disease, dementia, motor neuron disease, muscular atrophy, acquired brain injury, cancers involving neurological deficits, paediatric developmental conditions and rare genetic disorders such as spinal muscular atrophy. The system and method extracts a first formant data set from words spoken by an individual and uses these to classify the vowels in the words on a first computing device, such as a mobile smart phone equipped with a microphone into which an individual speaks. The system stores at least some of these frequencies for the vowel formants in a second formant data set as a recorded file and provides the second formant data set as input to acoustic metrics to generate score data from which an assessment is made to determine the articulation level of the vowels in the words spoken by the individual, allowing allow for detection, diagnosis, prediction and / or monitoring progression of the condition, disorder, or disease.

A data structure and associated methods for analysis of a continuous 1,197,000-letter unvocalized Hebrew string referred to as the Word of God (WOG). The data structure contains only the twenty-two classical Hebrew letters and their five final forms, with no spacing, punctuation, vowelization, or editorial symbols. Intrinsic placement of the final letters enables deterministic segmentation of the string into 305,490 lexical units and 23,206 verses without external conventions. Fixed letter-number assignments provide a numeric architecture for evaluating substrings, detecting alterations, identifying encoded mathematical correspondences, and performing pattern analysis. The system preserves full semantic range by supporting multiple morphologically valid interpretations of unvocalized Hebrew strings. Methods for segmentation, numeric evaluation, reconstruction, integrity verification, semantic analysis, and mathematical pattern detection are provided thereby providing a reproducible foundation for computational and linguistic research.

The invention provides a vowel recovery method and device, electronic equipment and a storage medium, and belongs to the technical field of natural language processing, the vowel recovery method comprises the steps that a first to-be-processed text is acquired, and the first to-be-processed text comprises a first text needing vowel recovery; the first to-be-processed text is input into the vowel recovery model for variable note label synchronous prediction, prediction labels output by the vowel recovery model are obtained, and the prediction labels are three types of variable note labels corresponding to each character in the first text; and determining a target text after vowel recovery based on the first to-be-processed text and a prediction label output by the vowel recovery model. In the process, the three types of variable note tags corresponding to each character in the first text can be synchronously predicted, and conflicts among different variable note tags are avoided, so that the variable note tag is accurately predicted for each character in the first to-be-processed text, and the accuracy of vowel recovery is improved.

The application provides a vowel restoration method and device, electronic equipment and storage medium, and belongs to the technical field of natural language processing, and comprises the following steps: obtaining a first to-be-processed text, the first to-be-processed text comprising a first text requiring vowel restoration; inputting the first to-be-processed text into a vowel restoration model for multi-vowel symbol label synchronous prediction to obtain a predicted label output by the vowel restoration model, the predicted label being three types of vowel symbol labels corresponding to each character in the first text; and determining a target text after vowel restoration based on the first to-be-processed text and the predicted label output by the vowel restoration model. In this process, three types of vowel symbol labels corresponding to each character in the first text can be synchronously predicted, avoiding conflicts between different vowel symbol labels, so that the vowel symbol label of each character in the first to-be-processed text can be accurately predicted, thereby improving the accuracy of vowel restoration.

This disclosure provides a method, apparatus, device, and storage medium for segmenting Chinese speech signals. The method includes: sampling a target audio signal containing speech corresponding to a target Chinese text to obtain signal amplitudes corresponding to multiple sampling points; performing speech endpoint detection on the target audio data based on the signal amplitudes corresponding to the multiple sampling points to obtain multiple speech segments in the target audio data; determining the vowel position sequence corresponding to the target speech segment based on the formant energy of the speech signal in the target speech segment; determining syllable segmentation points and initial / final segmentation points of the target speech segment based on the signal amplitudes of sampling points between two adjacent vowel positions in the vowel position sequence and the initials and finals of the corresponding Chinese text segment; and segmenting the target speech segment based on the syllable segmentation points and initial / final segmentation points to obtain segmented speech primitives. This disclosure improves the accuracy of speech signal segmentation.