Speech Analysis TRIZ Cases

A processor analyzes audio signals to distinguish speech from music, applying tailored decoding and signal processing schemes to each stream.

A signal de-noising method selects spectral coefficients based on inter-frame correlation to predict and adjust decoded audio signals.

A voice biometric server generates unique voice prints from audio streams to verify customer identity during communication sessions.

Segmented LPC representations control energy levels in noisy parts while maintaining tonal spectral properties during frame loss.

Voice biometrics replaces passwords and tokens, eliminating unauthorized access risks while simplifying implementation.

Mismatched windowing reduces coding delay and computational complexity while maintaining signal quality during upmix operations.

A tuned corrective frequency mask converts time-based data to the frequency domain for precise noise cancellation.

A CELP speech coding apparatus switches between orthogonal and non-orthogonal fixed codebook searches.

A stereo audio encoder maps channel difference parameters using Golomb-Rice coding to optimize bit allocation.

A digital audio decoder discriminates echo signals by defining a false alarm zone in high-energy parts to inhibit unnecessary attenuation.

AI analyzes lip-sync and facial expressions to detect impersonation probability during interviews.

An adaptive filter estimates clean speech signals from noisy microphone inputs to enable accurate intelligibility assessment.

A hearing device processor applies digital filtering to a telecoil audio signal based on transceiver activity.

A voice data transmitting system accumulates speech sections and transmits them as files using HTTP protocols.

Splitting super-wideband audio into low and high frequency bands enables effective noise suppression without speech quality degradation.

A voice band expander shifts reduced spectral components to higher frequencies.

A signal processing system generates weighted feature vectors using frame-specific reliability metrics to enhance class identification accuracy.

Predictive interpolation adjusts target channel samples to maintain temporal alignment across audio frames.

A machine learning baby monitor uses a convolutional neural network to classify infant states from video feeds and transmit alerts to mobile devices.

A voice command authentication method calculates signal-to-noise ratios and Mel-frequency cepstral coefficients to verify user identity.

A microphone array processor determines sound source distance using reverberation characteristics to classify audio signals.

A VoIP routing system collects and tailors contextual data during call setup to deliver relevant information directly to the destination endpoint.

A signal processing apparatus generates a coefficient stream and performs folding processing to complement high frequency components in sound signals.

Coding apparatus calculates similarity parameters between frequency bands to reconstruct high-frequency spectra without collapsing harmonic structure.

Calculating frequency-domain channel signal level and phase differences preserves energy during stereo down-mixing when channels have opposite phases.