Difficulty in integrating complex audio algorithms due to varying processor capabilities and specifications.
Porting of Audio Algorithms Across Processors
Manages Instruction Set Architecture (ISA) differences, optimizes memory access, and ensures compatibility between fixed-point and floating-point math. Enhances precision without increasing power consumption.
High levels of background noise affecting the quality of audio output in devices.
Background Noise Cancellation (BNC)
Active Noise Cancellation (ANC), Digital Signal Processing (DSP), Signal-to-Noise Ratio (SNR), Multi-Vector Noise Suppression (MVNS)
Reduces noise interference effectively with advanced DSP techniques, improving SNR and user experience.
High levels of background noise affecting the quality of audio output in devices.
Speech Recognition (SR)
Automatic Speech Recognition (ASR), Voice User Interface (VUI), Speech-to-Text (STT), Hidden Markov Model (HMM), Deep Neural Network (DNN)
Enhances voice-controlled applications with high accuracy and low latency, supports multiple languages and dialects.
Growing need for secure user authentication in devices to prevent unauthorized access.
Speaker Voice Recognition (SVR)
Speaker Verification (SV), Speaker Identification (SI), Text-to-Speech (TTS), Mel-Frequency Cepstral Coefficients (MFCC)
Offers robust biometric authentication, enhanced device security and personalization.
Need for scalable solutions that can handle increasing audio processing demands without impacting device performance.
Cloud Hosted API Services
Provides scalable, cloud-based audio processing services that enhance audio quality and reduce load on device hardware.