Research topic
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Detailed summary
Only paper [1] directly utilizes the Hough transform for harmonic detection in the time-frequency domain but is focused on military target noise rather than tonal audio for determining fundamental pitch.
Details:[1] Harmonic Detection Arithmetic Based on Hough Transformation in Time-frequency Domain (2010):
- Utilizes the Hough transform for detecting harmonic signals, applying it to noise from military targets.
- Describes the application of the Hough transform to detect base frequencies and shifting rates in harmonic signal sets.
- Demonstrates the effectiveness of the Hough transform under low SNR conditions.
- Although beneficial for detecting harmonic structures, it focuses on military application rather than general tonal audio.
[2] Detection of chirp and other components in the time-frequency plane using the Hough and Radon transforms (1997):
- Proposes a Hough and Radon transform-based method for detecting chirp components in nonstationary signals.
- Is not focused on harmonic structure or pitch determination in tonal audio.
[3] Application of Harmonic Set (HS) Algorithm to the Helicopter Passive Acoustic Detection (2003):
- Discusses the detection of harmonically related tones using the Harmonic Set algorithm, not the Hough transform.
- Focuses on helicopter acoustic signal recognition.
Other References:
- [4, 5, 6, 7, 8, 9, 10] explore various methods and algorithms for pitch detection and harmonic analysis in audio but do not specifically apply the Hough transform. These methods include modifications of existing transforms like the Hilbert-Huang transform, Fourier transform techniques, and harmonic set algorithms, emphasizing different aspects of signal processing.
The literature search yielded limited results specific to the application of the Hough transform for recognizing harmonic structures and determining fundamental pitch in tonal audio. The most relevant paper [1] applies the Hough transform in a different context, focusing on military target noise rather than general audio processing. No papers were found that directly address the high-level goal of applying the Hough transform to audio spectra for tonal audio harmonic structure recognition and fundamental pitch determination.
Categories of papers
The most important categories to highlight include those that focus on the application of the Hough transform in recognizing harmonic structures and fundamental pitch in tonal audio. This categorization ensures clarity in identifying precisely relevant research as well as related topics that provide context or alternative approaches.
Title 1: "Application of Hough Transform to Audio Spectra for Harmonic Structure Recognition" Description: "Papers that specifically apply the Hough transform to audio spectra to detect harmonic structures and determine fundamental pitch." References: [1]
Title 2: "Use of Hough Transform in Audio Signal Processing" Description: "Papers involving the Hough transform within the context of audio signal processing that may not directly focus on harmonic structure recognition or fundamental pitch determination." References: [2]
Title 3: "Pitch Detection and Harmonic Analysis in Audio" Description: "Papers that discuss methods for pitch detection and harmonic analysis in audio, without specifically mentioning the Hough transform." References: [4, 5, 6, 7, 8, 10]
Title 4: "General Audio Signal Processing and Harmonic Detection" Description: "Papers related to general signal processing and harmonic detection in audio, not specifically using the Hough transform." References: [3, 9]