4 citations · 6 across the 2 of their papers we have counts for
2 papers
eess.AS2023★ 4 cited
The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation
Matthew C. Kelley, Scott James Perry, Benjamin V. Tucker
Forced alignment systems automatically determine boundaries between segments in speech data, given an orthographic transcription. These tools are commonplace in phonetics to facili…
eess.AS2023★ 2 cited
Acoustic absement in detail: Quantifying acoustic differences across time-series representations of speech data
Matthew C. Kelley
The speech signal is a consummate example of time-series data. The acoustics of the signal change over time, sometimes dramatically. Yet, the most common type of comparison we perf…