scispace - formally typeset
Search or ask a question
Topic

Audio signal processing

About: Audio signal processing is a research topic. Over the lifetime, 21463 publications have been published within this topic receiving 319597 citations. The topic is also known as: audio processing & Acoustic signal processing.


Papers
More filters
Patent
31 Oct 2007
TL;DR: A wireless audio distribution system includes a wireless headset for receiving a serial, digital bitstream including control data interspersed with digital data related to the audio channels, a manual audio channel selector switch; a manual volume adjustment control, an error detector and a muting circuit selectively reducing the volume level of the audio reproduced by the wireless headset in multiple steps based on errors detected by the error detector as mentioned in this paper.
Abstract: A wireless audio distribution system includes a wireless headset for receiving a serial, digital bitstream including control data interspersed with digital data related to the audio channels, a manual audio channel selector switch; a manual volume adjustment control, an error detector and a muting circuit selectively reducing the volume level of the audio reproduced by the wireless headset in multiple steps based on errors detected by the error detector.

69 citations

PatentDOI
TL;DR: In this article, the authors proposed a method for providing hearing assistance to a user, comprising: capturing first audio signals by a first microphone arrangement (26) and transmitting the first audio signal by a transmission unit (22, 102) via a wireless audio link (27) to a receiver unit (24, 103) connected to or integrated into a hearing instrument (15) comprising means (38) for stimulating the hearing of the user (12) wearing the hearing instrument, and stimulating the user's hearing by the stimulating means according to the mixed first and second audio signals.
Abstract: The invention relates to a method for providing hearing assistance to a user (12), comprising: capturing first audio signals by a first microphone arrangement (26) and transmitting the first audio signals by a transmission unit (22, 102) via a wireless audio link (27) to a receiver unit (24, 103) connected to or integrated into a hearing instrument (15) comprising means (38) for stimulating the hearing of the user (12) wearing the hearing instrument (15); capturing second audio signals by a second microphone arrangement (36) connected to or integrated into the hearing instrument (15); analyzing at least one of the first and second audio signals by a classification unit (34, 134) in order to determine a present auditory scene category from a plurality of auditory scene categories; setting by a gain ratio control unit (32, 35, 126) the ratio of the gain applied to the first audio signals and the gain applied to the second audio signals according to the present determined auditory scene category and mixing the first and second audio signals according to the set gain ratio; and stimulating the user's hearing by the stimulating means (38) according to the mixed first and second audio signals.

69 citations

Patent
28 Jun 2002
TL;DR: In this article, a signal processing method including the steps of receiving a first audio signal, detecting the presence of one or more shrieks within an audible frequency range of the signal, creating one or several filters to selectively attenuate the respective one or multiple shrieks, and transmitting the filtered audio signal to an audio telephone device is described.
Abstract: A signal processing method including the steps of: receiving a first audio signal; detecting the presence of one or more shrieks within an audible frequency range of said audio signal; creating one or more filters to selectively attenuate the respective one or more shrieks within the audible frequency range; filtering the audio signal using the one or more filters; and transmitting the filtered audio signal to an audio telephone device.

69 citations

Journal ArticleDOI
TL;DR: Experimental results with 70 popular songs showed that the template-adaptation and harmonic-structure-suppression methods improved the recognition accuracy and achieved 83%, 58%, and 46% in detecting onsets of the bass drum, snare drum, and hi-hat cymbals, respectively.
Abstract: This paper describes a system that detects onsets of the bass drum, snare drum, and hi-hat cymbals in polyphonic audio signals of popular songs. Our system is based on a template-matching method that uses power spectrograms of drum sounds as templates. This method calculates the distance between a template and each spectrogram segment extracted from a song spectrogram, using Goto's distance measure originally designed to detect the onsets in drums-only signals. However, there are two main problems. The first problem is that appropriate templates are unknown for each song. The second problem is that it is more difficult to detect drum-sound onsets in sound mixtures including various sounds other than drum sounds. To solve these problems, we propose template-adaptation and harmonic-structure-suppression methods. First of all, an initial template of each drum sound, called a seed template, is prepared. The former method adapts it to actual drum-sound spectrograms appearing in the song spectrogram. To make our system robust to the overlapping of harmonic sounds with drum sounds, the latter method suppresses harmonic components in the song spectrogram before the adaptation and matching. Experimental results with 70 popular songs showed that our template-adaptation and harmonic-structure-suppression methods improved the recognition accuracy and achieved 83%, 58%, and 46% in detecting onsets of the bass drum, snare drum, and hi-hat cymbals, respectively

69 citations

Proceedings ArticleDOI
24 Jul 2006
TL;DR: A thorough investigation of audio features and classifiers and their applicability in the domain of animal sounds and introduces a set of novel audio descriptors and compares their quality to other popular features.
Abstract: Until recently few research has been performed in the area of animal sound retrieval. The authors identify state-of-the-art techniques in general purpose sound recognition by a broad survey of literature. Based on the findings, this paper gives a thorough investigation of audio features and classifiers and their applicability in the domain of animal sounds. We introduce a set of novel audio descriptors and compare their quality to other popular features. The results are encouraging and motivate further research in this domain.

69 citations


Network Information
Related Topics (5)
Feature extraction
111.8K papers, 2.1M citations
81% related
Feature (computer vision)
128.2K papers, 1.7M citations
79% related
Robustness (computer science)
94.7K papers, 1.6M citations
78% related
Noise
110.4K papers, 1.3M citations
77% related
Image segmentation
79.6K papers, 1.8M citations
77% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202319
202263
2021217
2020525
2019659
2018597