Sound Source Separation: Azimuth Discrimination and Resynthesis
نویسندگان
چکیده
In this paper we present a novel sound source separation algorithm which requires no prior knowledge, no learning, assisted or otherwise, and performs the task of separation based purely on azimuth discrimination within the stereo field. The algorithm exploits the use of the pan pot as a means to achieve image localisation within stereophonic recordings. As such, only an interaural intensity difference exists between left and right channels for a single source. We use gain scaling and phase cancellation techniques to expose frequency dependent nulls across the azimuth domain, from which source separation and resynthesis is carried out. We present results obtained from real recordings, and show that for musical recordings, the algorithm improves upon the output quality of current source separation schemes.
منابع مشابه
Singing Voice Separation Based on Non-vocal Independent Component Subtraction and Amplitude Discrimination
Many applications of Music Information Retrieval can benefit from effective isolation of the music sources. Earlier work by the authors led to the development of a system that is based on Azimuth Discrimination and Resynthesis (ADRess) and can extract the singing voice from reverberant stereophonic mixtures. We propose an extension to our previous method that is not based on ADRess and exploits...
متن کاملTime-varying Azimuth Discrimination and Resynthesis: a New Method for Music Repurposing
By extracting one or more instruments from one piece of music and mixing them with instruments from another, a professional DJ is able to create a new, ”remixed” music track. As a result, there has been a growing need for instrument-only tracks fueled by amateur DJs wanting to mix their own music. In this paper, we discuss an algorithm for improving upon a previous method of separating instrume...
متن کاملAuditory Spatial Acuity Approximates the Resolving Power of Space-Specific Neurons
The relationship between neuronal acuity and behavioral performance was assessed in the barn owl (Tyto alba), a nocturnal raptor renowned for its ability to localize sounds and for the topographic representation of auditory space found in the midbrain. We measured discrimination of sound-source separation using a newly developed procedure involving the habituation and recovery of the pupillary ...
متن کاملAutomatic detection of optimal azimuth widths for sound source separation using Adress
The Adress algorithm has proved successful as a means of separating sound sources from stereo mixtures. The algorithm has two main parameters, azimuth position and azimuth width, and these are typically set by the user for each source individually. For the separation of large amounts of audio material, such as in an audio archive, a method of automatically setting these parameters would be of u...
متن کامل