An accurate database documentation at phonetic level is very important for speech
research: however, manual segmentation and labeling is a time consuming and error prone …

This paper presents the results and conclusions of a thorough study on automatic phonetic
segmentation. It starts with a review of the state of the art in this field. Then, it analyzes the …

This paper presents an analysis of the performance and usability of automatic speech
processing tools on six different varieties of English spoken in the British Isles. The tools …

Forced aligners have revolutionized sociophonetics, but while there are several forced
aligners available, there are few systematic comparisons of their performance. Here, we …

Speech segment detection based on gated recurrent unit (GRU) recurrent neural networks
for the Kurdish language was investigated in the present study. The novelties of the current …

We propose a rapid adaptation of FAVE-Align to the Nordic languages, and we offer our own
adaptation to Swedish as a template. This study is motivated by the fact that researchers of …

Determining the location of phonemes is important to a number of speech applications,
including training of automatic speech recognition systems, building text-to-speech systems …

Speech segmentation refers to the problem of determining the phoneme boundaries from an
acoustic recording of an utterance together with its orthographic transcription. This paper …

There is growing interest in how speech technologies perform on L2 speech. Largely
omitted from this discussion are tools used in the early data processing steps, such as forced …

One requirement for researching and building spoken language systems is the availability of
speech data that have been labeled and time-aligned at the phonetic level. Although …