Sentence examples for speech alignment from inspiring English sources
(OHA) meetings in 2008 and again in 2010, automated speech alignment was demonstrated tying transcripts to spoken narrative, and showing where matches occur after text or map queries in the interviews.
It utilizes phonological features, automatic speech alignment based on acoustic models that were trained on normal speech, context-dependent speaker feature extraction, and intelligibility prediction based on a small model that can be trained on pathological speech samples.
This paper presents a methodology that uses phonological features, automatic speech alignment (based on acoustic models trained with normal speech), context-dependent speaker feature extraction, and intelligibility prediction based on a small model that can be trained on pathological speech samples.
The algorithm also uses a novel post-separation speech harmonic alignment that results in an improved performance.
To do so, organizers should provide the alignments of the training/development terms in the test speech data and the alignments of the test terms in the training/development speech data.
In [14], a dynamic alignment method to align speech at the sentence level in the presence of imperfect text data was proposed.
Dorran, D., Lawlor, R. & Coyle, E. High quality time-scale modification of speech using a peak alignment overlap-add algorithm (PAOLA).
This paper describes the ALISA tool, which implements a lightly supervised method for sentence-level alignment of speech with imperfect transcripts.
We may expect some decrease in performance if we would use reverberant speech to perform the alignment [44].
Secretary Clinton's endorsement of the social entrepreneurship movement was framed in the speech as working in alignment with the State Department's strategic goals of fostering innovation.
Several studies mentioned above have used low-level grouping cues, such as harmonicity and temporal alignment of speech items to counteract segregation introduced by spatial cues.
