The identiﬁcation of room impulse responses is very important in many audio signal processing applications. Typical system identiﬁcation methods require access to the original source signal which is seldom available in practice, while blind system identiﬁcation methods require prior knowledge of the statistical properties of the source signal which for audio applications, are not available. In this work, a new system identiﬁcation method is proposed using a close-microphone reference signal and it is shown that it accurately identiﬁes real room impulse responses.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.