IBCs. The Telos Alliance announced that in IBC2025 it will introduce several key AI-based workflows for its file-based audio automation platform Minnetonka Audio AudioTools Server.
Among the main ones is the ability to measure the intelligibility of dialogues, one of the most frequent complaints related to audio on all multimedia platforms. If measurements reveal that the audience will have difficulty understanding the dialogue, it can be extracted and processed to improve its intelligibility. The ability to isolate the dialogue will also allow for more accurate volume measurements.
ATS V7 will also employ an advanced AI-based language detection algorithm. If the final audio presentation dialog is in a different language than expected, AudioTools Server can drive the next steps, such as flagging the content, alerting the operator, or correcting the problem, ensuring greater quality control and a better experience for the viewer.
Additional machine learning capabilities include speaker identification and diarization, clone detection to determine if content is an authentic human voice, content detection to help identify programs, gender detection, and speech-to-text generation.
