Increasing demand for robust voice recognition capabilities to support AI-powered applications.
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.
Telecommunications companies face challenges in handling and analyzing large volumes of call data for service improvement and compliance.
Data Management and Analytics
Offers advanced data analysis tools and services, enabling efficient handling, storage, and analysis of call data, which supports performance monitoring and compliance management.
Customers frequently experience poor call quality due to varying network conditions and background noise.
Background Noise Cancellation (BNC)
Active Noise Cancellation (ANC), Digital Signal Processing (DSP), Signal-to-Noise Ratio (SNR), Multi-Vector Noise Suppression (MVNS)
Dramatically improves call clarity by reducing background noise, ensuring high-quality communication regardless of external conditions.
Global market demands require devices to understand and respond to multiple languages and dialects.
Multilingual Speech Recognition
Automatic Speech Recognition (ASR), Language Processing Algorithms
Supports a broad range of languages, enhancing the product appeal in diverse markets and ensuring inclusivity in voice interaction.
Software applications, particularly communication tools, often suffer from degraded quality due to packet loss in poor network conditions.
Generative AI for Packet Loss Correction
Enhances audio and video quality by reconstructing lost packets, ensuring clear and uninterrupted communication even in unstable network environments.