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Audio data holds a wealth of information, and our Audio Intelligence solutions are designed to tap into it. We apply AI to analyze and understand audio signals, from spoken conversations to ambient sounds.
Speech Analytics
Analyzing call center conversations or meeting discussions to evaluate agent performance, customer satisfaction, or compliance with scripts. For example, detecting moments of frustration in a support call (via acoustic cues or certain keywords) so managers can intervene or provide coaching.
Speaker Diarization
Automatically determining “who spoke when” in an audio recording. This is crucial for meetings or multi-speaker podcasts, attributing each part of the conversation to the right person. Our solutions can label speakers and segment audio by participant, even in overlapping speech scenarios.
Emotion and Tone Detection
Picking up on vocal cues to determine the emotional state of a speaker (happy, angry, neutral, etc.). Businesses use this to route calls (e.g., an upset customer might be escalated to a specialist) or simply to gather analytics on customer sentiment over phone interactions.
Audio Event Detection
Recognizing non-speech audio events or anomalies. For instance, in a manufacturing setting, an AI system could “listen” to machinery sounds and detect anomalies that indicate a potential malfunction. Or in security, detecting sounds like glass breaking or alarms.
Real-Time Transcription & Translation
Converting live audio streams into text on the fly and translating if needed. This is helpful for live webinars (to provide captions in multiple languages) or cross-language communications in meetings.
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