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Real-time system for studies of the effects of acoustic feedback on animal vocalizations.

Skocik M, Kozhevnikov A - Front Neural Circuits (2013)

Bottom Line: We describe an apparatus for generating real-time acoustic feedback.It is low-cost and can be programmed for a variety of behavioral experiments requiring acoustic feedback or neural stimulation.We use the system to study the effects of acoustic feedback on birds' vocalizations and demonstrate that such an acoustic feedback can cause both immediate and long-term changes to birds' songs.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, Pennsylvania State University University Park, PA, USA.

ABSTRACT
Studies of behavioral and neural responses to distorted auditory feedback (DAF) can help shed light on the neural mechanisms of animal vocalizations. We describe an apparatus for generating real-time acoustic feedback. The system can very rapidly detect acoustic features in a song and output acoustic signals if the detected features match the desired acoustic template. The system uses spectrogram-based detection of acoustic elements. It is low-cost and can be programmed for a variety of behavioral experiments requiring acoustic feedback or neural stimulation. We use the system to study the effects of acoustic feedback on birds' vocalizations and demonstrate that such an acoustic feedback can cause both immediate and long-term changes to birds' songs.

No MeSH data available.


Block diagram of the acoustic feedback system. When not triggered (top), the system computes the rms of the input signal. When the rms exceeds the threshold, the system is triggered. When triggered (bottom), the system computes the spectrogram of the most recent 20 ms of signal and computes the correlation coefficient of this spectrogram with the spectrogram of the template sound (e.g., song syllable). The template sound is detected when the correlation coefficient exceeds a threshold value; in this case, acoustic feedback can be generated. Both the input and the acoustic output are saved to the computer hard drive.
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Figure 1: Block diagram of the acoustic feedback system. When not triggered (top), the system computes the rms of the input signal. When the rms exceeds the threshold, the system is triggered. When triggered (bottom), the system computes the spectrogram of the most recent 20 ms of signal and computes the correlation coefficient of this spectrogram with the spectrogram of the template sound (e.g., song syllable). The template sound is detected when the correlation coefficient exceeds a threshold value; in this case, acoustic feedback can be generated. Both the input and the acoustic output are saved to the computer hard drive.

Mentions: The Data Recorder software within RTXI is custom modified. The simplified diagram of signal processing is shown in Figure 1. The system has two modes of operation—a non-triggered (idle) mode and a triggered (active) mode. At the core of the modified software is the circular buffer that takes data points one-by-one from the data acquisition engine once they become available. In the non-triggered mode [Figure 1(top)], the system continuously (every 1 ms) computes the rms of the last 10 ms of the input signal. If the signal rms exceeds the threshold, the system is switched into triggered mode.


Real-time system for studies of the effects of acoustic feedback on animal vocalizations.

Skocik M, Kozhevnikov A - Front Neural Circuits (2013)

Block diagram of the acoustic feedback system. When not triggered (top), the system computes the rms of the input signal. When the rms exceeds the threshold, the system is triggered. When triggered (bottom), the system computes the spectrogram of the most recent 20 ms of signal and computes the correlation coefficient of this spectrogram with the spectrogram of the template sound (e.g., song syllable). The template sound is detected when the correlation coefficient exceeds a threshold value; in this case, acoustic feedback can be generated. Both the input and the acoustic output are saved to the computer hard drive.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3539774&req=5

Figure 1: Block diagram of the acoustic feedback system. When not triggered (top), the system computes the rms of the input signal. When the rms exceeds the threshold, the system is triggered. When triggered (bottom), the system computes the spectrogram of the most recent 20 ms of signal and computes the correlation coefficient of this spectrogram with the spectrogram of the template sound (e.g., song syllable). The template sound is detected when the correlation coefficient exceeds a threshold value; in this case, acoustic feedback can be generated. Both the input and the acoustic output are saved to the computer hard drive.
Mentions: The Data Recorder software within RTXI is custom modified. The simplified diagram of signal processing is shown in Figure 1. The system has two modes of operation—a non-triggered (idle) mode and a triggered (active) mode. At the core of the modified software is the circular buffer that takes data points one-by-one from the data acquisition engine once they become available. In the non-triggered mode [Figure 1(top)], the system continuously (every 1 ms) computes the rms of the last 10 ms of the input signal. If the signal rms exceeds the threshold, the system is switched into triggered mode.

Bottom Line: We describe an apparatus for generating real-time acoustic feedback.It is low-cost and can be programmed for a variety of behavioral experiments requiring acoustic feedback or neural stimulation.We use the system to study the effects of acoustic feedback on birds' vocalizations and demonstrate that such an acoustic feedback can cause both immediate and long-term changes to birds' songs.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, Pennsylvania State University University Park, PA, USA.

ABSTRACT
Studies of behavioral and neural responses to distorted auditory feedback (DAF) can help shed light on the neural mechanisms of animal vocalizations. We describe an apparatus for generating real-time acoustic feedback. The system can very rapidly detect acoustic features in a song and output acoustic signals if the detected features match the desired acoustic template. The system uses spectrogram-based detection of acoustic elements. It is low-cost and can be programmed for a variety of behavioral experiments requiring acoustic feedback or neural stimulation. We use the system to study the effects of acoustic feedback on birds' vocalizations and demonstrate that such an acoustic feedback can cause both immediate and long-term changes to birds' songs.

No MeSH data available.