TAG’s audio monitoring capabilities provide automated, real-time oversight of program audio streams to ensure consistent quality and compliance. The system continuously checks for a wide range of audio issues, such as missing audio, prolonged silence, phase errors, excessive peaks, loudness deviations, bitrate anomalies, codec mismatches, and channel configuration errors. These checks are based on configurable thresholds and industry standards, allowing operators to tailor monitoring to their specific requirements and receive timely alerts when issues are detected.
By monitoring both overall and channel-specific audio characteristics, TAG helps broadcasters quickly identify and resolve problems that could impact the viewer experience. The platform’s detailed event reporting covers scenarios like mono audio on stereo streams, mismatched audio languages, and dialogue normalization discrepancies for Dolby content. This comprehensive approach ensures that audio quality is maintained across all channels and formats, supporting operational efficiency and regulatory compliance throughout the broadcast workflow.
FAQ
Audio codec : MPEG2 / AAC / HE-AAC / A-52 / AES67
Dolby : Dolby-D, Dolby-Plus, Dolby Atmos, Dolby-E
Audio channel mode : 1 / 1+1 / 2 / 5.1 / 8 / 16 / 7.1
Loudness monitoring : EBU-R-128/ITU-1770-3/ATSC A/85
Silence detection : Mono, stereo, dual mono, surround
Clipping detection : User adjustable threshold
It can automatically spot issues like no sound at all, long periods of silence, sound that’s too quiet or too loud, sound only on one side, the wrong audio format or number of channels, wrong language, or inconsistent dialogue levels.
TAG can watch for very short-term peaks (True-Peak Audio Level above X dBTP, ID 73, and 3s Audio Level above X LUFS, ID 74) as well as longer-term levels (Low Audio, ID 211, and Loud Audio, ID 340), so you can be alerted when audio is too quiet, too loud, or clipping and adjust your workflow or source accordingly.
It reduces the need for constant manual listening, gives your team early warning when audio goes wrong, and makes it easier to pinpoint where the problem is, so operators can spend more time fixing issues and less time hunting for them.