Temporal Feature Extraction in Cochlear Implant Signal Processing
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Solution Overview
Problem
Existing cochlear implant coding strategies neglect fine-grained temporal information, relying solely on spectral envelopes for speech understanding, and lack effective methods to extract temporal speech features, making it difficult to improve performance and evaluate new hardware features without time-consuming subjective tests with large numbers of patients.
Innovation Solution
A cochlear implant signal processor with a temporal feature processing module that extracts temporal information from stimulation pulse sequences using short-term spectrum calculations, filters out unwanted information, and aggregates it across channels, enabling evaluation of temporal feature significance for automatic speech recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If spectral envelope coding is used in cochlear implant signal processing, then speech understanding is achieved, but fine-grained temporal information is lost
Solution Approach 1:
The patent segments the speech signal into multiple frequency channels and extracts temporal features from each channel separately. By dividing the signal processing into discrete frequency bands and time frames, the system can capture fine-grained temporal information without overwhelming computational complexity, resolving the contradiction between information preservation and processing complexity
Solution Approach 2:
The patent transforms the signal representation by adding a temporal dimension to the spectral analysis. Instead of only analyzing frequency content, the system extracts temporal envelope fluctuations and fine structure information across time, creating a multi-dimensional feature space that preserves temporal information while maintaining manageable processing complexity through dimensionality-reducing feature extraction
2Productivity
If new coding strategies are developed for cochlear implants, then speech perception performance can be improved, but evaluation requires time-consuming subjective tests with large numbers of patients
Solution Approach 1:
The patent creates a computational model that copies and simulates the cochlear implant signal processing pipeline. By implementing virtual signal processing chains that replicate the implant's functionality, researchers can evaluate new coding strategies in silico, obtaining precise performance measurements without conducting time-consuming clinical trials with patient populations
Solution Approach 2:
The patent performs preliminary evaluation of coding strategies through computational modeling before clinical implementation. By conducting virtual experiments and simulations in advance, the system identifies promising coding approaches that can then be tested with smaller patient cohorts, significantly reducing the time and resources required for performance validation
3Measurement precision
If temporal feature extraction is added to cochlear implant processing, then speech recognition accuracy improves, but computational load increases
Solution Approach 1:
The patent extracts only the most relevant temporal features from the speech signal, such as temporal envelope fluctuations and salient fine structure information. By selectively extracting specific temporal characteristics rather than processing all temporal data, the system improves speech recognition accuracy while minimizing the computational energy required for feature extraction and processing
Data Source
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AI summary
An arrangement and method for the evaluation of hearing implant signal processing is described. A cochlear implant signal processor converts a speech signal input into multi-channel stimulation pulse sequences for a cochlear implant electrode array. A temporal feature processing module extracts temporal feature information from the stimulation pulse sequences. A speech recognition engine evaluates the temporal information using automatic speech recognition to produce speech recognition outputs corresponding to the speech signal input.