Yet Another Algorithm for Pitch Tracking
By K. Kasi, S. Zahorian. 2002
159 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Wei-Ning Hsu
- Yossi Adi
- Emmanuel Dupoux
- Abdel-rahman Mohamed
- Gabriel Synnaeve
- Jade Copet
- Evgeny Kharitonov
- James R. Glass
In Computer Vision and Pattern Recognition
In Signal Processing
- Wei-Ning Hsu
- Yossi Adi
- Emmanuel Dupoux
- Abdel-rahman Mohamed
- Jade Copet
- Adam Polyak
- Evgeny Kharitonov
- Daniel Povey
Citations in the corpus
- Speech Resynthesis from Discrete Disentangled Self-Supervised Representations (2021, methodology): “The YAAPT [38] algorithm is used to extract the F0 from the input signal, x, generating p = (p1, . . . , pT ′).”
- Textless Speech Emotion Conversion using Decomposed and Discrete Representations (2021, methodology): “In this work, we use YAAPT (Kasi and Zahorian, 2002) and evaluate several quantization methods (see Table 2).”
- High Fidelity Speech Regeneration with Application to Speech Enhancement (2021, methodology): “The former F0(x̃), is extracted using YAAPT [18], which was found to be robust against input distortions.”
- HierSpeech++: Bridging the Gap Between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-Shot Speech Synthesis (2023, unknown): “We extracted F0 using the YAAPT [79] algorithm with a hop of 80.”
- textless-lib: a Library for Textless Spoken Language Processing (2022, methodology): “(2021) we support F0 extraction using the YAAPT pitch extraction algorithm (Kasi and Zahorian, 2002).”
- A pitch extraction algorithm tuned for automatic speech recognition (2014, methodology): “EXISTING PITCH EXTRACTION METHODS We started our work by obtaining various off-the-shelf pitch extractors, namely Yin [2], Getf0 [3], SAcC [4], Wu [5], SWIPE [6] and YAAPT [7].”