With query-based matching Fraunhofer IDMT offers a robust solution to detect a given audio query within a stream or file – even under noisy conditions or with a very short query. The software extracts acoustic fingerprints from query and reference files or streams, matches them against each other and shows the exact position of the overlapping content. The tool can be used to optimize broadcast and ad-monitoring or duplicate detection in digital archives.
Robustness to noise and interfering signals
Query-based matching detects whether a given query signal like an ad or a song segment is used in a TV and radio broadcast – even if the sample file is noisy due to mobile capturing and air transmission or if the audio material is used in a mix and other signals are present within the stream. No appearance is going to be missed even under difficult conditions, so tedious manual content tracking is no longer necessary.
Automatic detection of any audio content
Fraunhofer IDMT’s query-based matching is not limited to music. It works with audio signals of all types like speech, music, environmental sounds and noises, signals with mixed content, and noise-like signals. The software can therefore be used for a wide range of applications and tasks.
High accuracy
The software recognizes even very short queries of 3 to 4 seconds with a high accuracy. For this reason, automatic detection can also be used reliably to detect very short audio queries like station IDs or audio brands.