A Novel Pitch Detection Algorithm Based on Instantaneous Frequency for Clean and Noisy Speech

Mnasri, Zied; Rovetta, Stefano; Masulli, Francesco

doi:10.1007/s00034-022-02082-8

Cited by 2 publications

(1 citation statement)

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“…[27] employs the Radon transform and proposes an innovative approach of pitch estimation for speech in challenging noise environments, integrating the Viterbi algorithm to smooth pitch patterns and mitigating the impact of formants using both logarithmic and power functions. [28] relies on introducing a practical connection between the fundamental frequency (F 0 ) and the instantaneous frequency (F i ). It approximates the F 0 contour as a smoothed envelope of remaining F i values, identifying voiced or unvoiced speech regions and extracting the F 0 contour.…”

Section: Introductionmentioning

confidence: 99%

Frame Length Dependency for Fundamental Frequency Extraction in Noisy Speech

Rahman,

Chowdury,

Parvin

et al. 2024

JSIP

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The fundamental frequency plays a significant part in understanding and perceiving the pitch of a sound. The pitch is a fundamental attribute employed in numerous speech-related works. For fundamental frequency extraction, several algorithms have been developed which one to use relies on the signal's characteristics and the surrounding noise. Thus, the algorithm's noise resistance becomes more critical than ever for precise fundamental frequency estimation. Nonetheless, numerous state-of-the-art algorithms face struggles in achieving satisfying outcomes when confronted with speech recordings that are noisy with low signal-to-noise ratio (SNR) values. Also, most of the recent techniques utilize different frame lengths for pitch extraction. From this point of view, This research considers different frame lengths on male and female speech signals for fundamental frequency extraction. Also, analyze the frame length dependency on the speech signal analytically to understand which frame length is more suitable and effective for male and female speech signals specifically. For the validation of our idea, we have utilized the conventional autocorrelation function (ACF), and state-of-the-art method BaNa. This study puts out a potent idea that will work better for speech processing applications in noisy speech. From experimental results, the proposed idea represents which frame length is more appropriate for male and female speech signals in noisy environments.

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Section: Introductionmentioning

confidence: 99%