Speech Recognition TRIZ Cases
- Voice-Based Metadata Tagging for Video Content Discovery
A voice-based metadata tagging system resolves search accuracy issues by converting spoken remote control inputs into searchable text tags.
- Wearable Speech Training Device with Feedback Mechanisms
A wearable utterance training system detects target speech and triggers responsive effects like shocks or financial transfers.
- Adaptive Silence Detection in Speech Recognition Systems
A speech recognition system adjusts silence detection parameters based on real-time audio amplitude changes to terminate processing accurately.
- Neural Network Feature Extraction for Speaker Diarization
Tied-weight neural network extracts adaptive feature vectors from speech samples to classify speaker identity.
- Speech Model Personalization via Federated Environmental Noise Augmentation
A speech recognition model adapts to user environments by augmenting fixed training utterances with sampled environmental noise.
- Phrase Spotting System Using Hidden Markov Model and User Verification
A phrase spotting system uses a hidden Markov model to identify audio phrases and requests user verification for recording.
- Voice Control Activation via External Device Notification
Control unit receives readiness notifications from external devices to activate voice recognition, reducing power consumption by avoiding continuous monitoring.
- Acoustic Model Training Using Hybrid Neural Networks
A hybrid neural network trains acoustic models using unannotated speech data to reduce manual annotation costs.
- Multimodal Page Voice Click Indicia Toggling
Toggles indicia binding user interface elements to voice logic, resolving development complexity from separate visual and voice interfaces.
- Speech Recognition Pronunciation Adaptation via Expected Response Matching
The system updates phoneme sequences based on expected response matching to reduce repeated utterances and improve user productivity in hands-free communication.
- Personal Virtual Assistant Activation via Imaging Recognition
Imaging devices detect user presence to activate a personalized virtual assistant mode, reducing energy consumption by avoiding continuous activation.
- Speaker Identification Using ASR Gaussian Mixture Model Components
A speaker identification module matches Gaussian mixture model components from speech recognition against user profiles.
- Embedded ASR and Correlation Module for Real-Time Transcription
Correlation module derives patterns between audio content and outputs to resolve the trade-off between transcription accuracy and device complexity.
- Context-Specific Virtual Vocabulary for Speech Recognition Accuracy
Virtual vocabulary database segments context-specific terms with numerical usage weights, resolving transcription accuracy errors in form-based inputs.
- Voice Conversion Neural Network Training via Parallel Data Segmentation
A voice conversion training method segments parallel data groups to reduce personalized data requirements for neural network adaptation.
- Audio Processing Using Language Identification and Acoustic Models
Segmenting speech recognition tasks via a language identification model improves accuracy for code-switched content while reducing computational complexity.
- Automated Voice Processing Testing System for Consistent Audio Evaluation
Automated voice processing testing system generates consistent audio files to eliminate manual bias and improve test reliability.
- Virtual Assistant Intermediary for Proactive User Information Delivery
A secondary virtual assistant retrieves user-specific data to provide timely updates through a primary assistant interface.
- Voice Activity Detection Using Entropy-Energy Square Root
A voice activity detection method calculates the spectral entropy-energy square root of speech signals to classify frames as voiced or unvoiced.
- Front-end Processor Speech Recognition Noise Adaptation
A front-end processor converts speech frames using linear dynamic systems to match acoustic model conditions.
- SVD Voice Recognition Subspace Segmentation for Multi-Talker Noise
A speech recognition system projects digitized features into speaker-specific subspaces using singular value decomposition.
- Voice Recognition User Profile Configuration
Voice recognition identifies users to configure client devices, eliminating manual menu navigation for settings adjustment.
- ASR Model Knowledge Distillation via Encoder Segmentation
Segmenting ASR encoders and predicting Bregman coefficients transfers knowledge without updating entire models, reducing computing resource consumption.
- Voice Command Module Partial Recognition Execution
A voice command module initiates execution based on initial speech portions.
- Voice Template Asset Retrieval for Noise-Resistant Recognition
A voice-based dialog view navigates to a built-in asset retrieval activity to extract worker-specific voice templates.
- Real-Time Speech Adjustment System for Communication Clarity
A system adjusts user speech by replacing unclear words with synthesized audio during communication sessions.
- Vehicle Voice Input Recovery via Incomplete Sequence Storage
A vehicle voice recognition system stores incomplete sequences during interruptions to enable seamless process resumption.
- Phonetic Matching for ASR Named Entity Correction
A named entity model converts speech recognition text into phonetic representations to match against a database.
- Speech Modification Assistance Apparatus for User-Driven Text Editing
A speech modification assistance apparatus converts recorded audio to text and allows users to designate specific character strings for editing.
- Computational Eyewear Case Offloads Speech Processing
Segmenting processing into a dedicated computational eyewear case prevents smartphone battery depletion while maintaining reliable real-time transcription.
- Speech Separation Algorithm Preserves Speaker Features
Adaptive path separation module fuses hidden layer state information to retain speaker characteristics during silent intervals.
- Voice Processing Device Conflict Management via Operation History
A voice processing device coordinates internal and external recognition functions through a dedicated control unit.
- Neural Network Ranker for Hybrid Speech Recognition Accuracy
A neural network ranker processes feature vectors from multiple speech engines to generate precise ranking scores for candidate outputs.