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From this data a speech manifold is recovered using dimensionality reduction techniques; this manifold demonstrates a strong structure related to the cyclical nature of speech lip movements.
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In QbE STD, we consider the scenario in which the user has found some interesting data within a speech data repository and his/her purpose is to find similar data within that repository.
Query-by-Example Spoken Term Detection (QbE STD) aims at retrieving data from a speech data repository given an acoustic query containing the term of interest as input.
In QbE STD, we consider the scenario where the user has found some interesting data within a speech data repository (for example, by random browsing or some other method).
Spoken term detection (STD) aims at retrieving data from a speech repository given a textual representation of the search term.
Within search-on-speech, Spoken Term Detection (STD) aims to retrieve data from a speech repository given a textual representation of a search term.
Query-by-example spoken term detection (QbE STD) aims at retrieving data from a speech repository given an acoustic query containing the term of interest as input.
U.S. stocks were lower during the morning half of the session, as the market waits for more economic data and a speech from Fed Chairman Alan Greenspan Alan Greenspan this week to shed light on the future of interest rates.
Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input.
One exception is the study by Nachtegaal et al, 10 who used both data from a speech-in-noise test and questionnaires about the need for recovery after work and psychological work characteristics.
Another approach consists of an entirely data-driven synthesis where the output signal is constructed by reusing prerecorded speech data contained in a speech database.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com