6 accepted papers
This paper explores a way to verify that audio has not been maliciously tampered in a specific context: short viral videos taken from news recordings. Rather than trying to detect artifacts of tampering (internal inconsistency), we focus on positively verifying a query against a trusted source such…
This paper studies instrument classification of solo sheet music. Whereas previous work has focused on instrument recognition in audio data, we instead approach the instrument classification problem using raw sheet music images. Our approach first converts the sheet music image into a sequence of mu…
In this work we explore parallelizable alternatives to DTW for globally aligning two feature sequences. One of the main practical limitations of DTW is its quadratic computation and memory cost. Previous works have sought to reduce the computational cost in various ways, such as imposing bands in th…
This paper investigates the problem of matching a MIDI file against a large database of piano sheet music images. Previous sheet–audio and sheet–MIDI alignment approaches have primarily focused on a 1-to-1 alignment task, which is not a scalable solution for retrieval from large databases. We propos…
Audio fingerprinting refers to the process of extracting a robust, compact representation of audio which can be used to uniquely identify an audio segment. Works in the audio fingerprinting literature generally report results using system-level metrics. Because these systems are usually very complex…
Addressee detection answers the question, “Are you talking to me?” When multiple users interact with a dialogue system, it is important to know when a user is speaking to the computer and when he or she is speaking to another person. We approach this problem from a multimodal perspective, using lexi…