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          <identifier identifierType="DOI">10.5522/04/29851535.v1</identifier>
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              <creatorName>Signorelli, Valerio</creatorName>
              <givenName>Valerio</givenName>
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          <titles>
            <title><![CDATA[NISPAE, Non Intrusive SPectrogram Analyses on the Edge]]></title>
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          <subjects>
            <subject>Audio processing</subject>
            <subject>spectrogram</subject>
            <subject>python</subject>
            <subject>raspberrypi</subject>
            <subject>iot</subject>
            <subject>MQTT</subject>
            <subject>Audio Analysis</subject>
            <subject>Data Visualisations</subject>
            <subject>Short-time Fourier transform (STFT)</subject>
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            <date dateType="Created">2025-08-11</date>
            <date dateType="Updated">2025-08-11</date>
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          <publicationYear>2025</publicationYear>
          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">NISPAE is a Python application for performing Non-Intrusive SPectrogram Analyses on the Edge. It is designed to analyse audio signals in real-time, without the need to collect any audio recordings, and extract relevant features using the short-time Fourier transform (STFT). This solution is particularly useful for recording in public places where concerns regarding privacy in regards to actual audio recording may arise. NISPAE is optimized for running on edge devices with limited computational resources, such as Raspberry Pi (currently tested on Rpi 4 and Rpi 3B+).</p><p><br></p>]]></description>
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