Voice Recognition And Speech Processing

Description

• Automatic Speech Recognition (ASR): Convert spoken language into written text with high accuracy.
• Voice Biometrics: Authenticate users based on their unique vocal characteristics.
• Natural Language Understanding (NLU): Comprehend and interpret the intent behind spoken phrases.
• Text-to-Speech (TTS): Generate natural-sounding spoken audio from written text.
• Speech-to-Speech Translation: Translate spoken language into another language while preserving the speaker’s voice characteristics.
• Keyword Spotting: Detect specific keywords within a stream of audio.
• Sentiment Analysis: Analyze the emotional tone behind the spoken language.
• Noise Reduction: Enhance audio quality by filtering out background noise.
• Speaker Diarization: Identify and distinguish between different speakers in a conversation.
• Voice Command and Control: Execute commands and control applications via voice input.