European Companies Search Engine
EU funding (€149,919): Integrating morpho-phonology in speech recognition Hor1 Mar 2019 EU Research and Innovation programme "Horizon"
Overview
Text
Integrating morpho-phonology in speech recognition
Automatic Speech Recognition (ASR) is considered to represent the most natural man-machine interface across the spectrum of technological space. Current commercial ASR systems rely on a ‘rich’ representation of an acoustic signal for words and their variants, resulting in major challenges in the deployment of ASR systems in areas where it could have substantial social impact. Our central goal is to translate research results from the ERC funded project MORPHON into a novel ASR system to remove such barriers. We have previously demonstrated that the use of a universal set of phonological features delivers an isolated word recognition system (FlexSR) with enhanced phoneme recognition accuracy. It is more robust under conditions of non-standard speech, dialect variation and can be easily adapted to new languages. These aspects are problematic for current ASR systems which rely on the probabilistic sequencing of whole words in their language model (LM) based on large written text corpora for training. Obtaining sufficient training data for a new LM is prohibitively expensive. Instead, MorSR will incorporate linguistic information about word-structure to reject improbable words. This reduces the search space and increases the probability of identifying correct words. A major outcome will be an innovative LM based on linguistic principles. Unlike existing approaches, it is based on speech data to capture crucial regularities that are lost in text corpora. Combined with FlexSR's key strengths in identifying subtle phonological contrasts, MorSR will not only enable improved predictions of word sequences in running speech, but also dramatically reduce the requirement for training data when adapting the system to a new language. MorSR's strengths include: (a) prediction of fine-grained possibilities of word sequences based on grammatical principles; (b) requiring considerably less training data; (c) easily adaptable to new languages; and (d) will be fast, secure and accurate.
Funded Companies:
| Company name | Funding amount |
| The Chancellor, Masters and Scholars of the University of Oxford | €149,919 |
Source: https://cordis.europa.eu/project/id/838058
The filing refers to a past date, and does not necessarily reflect the current state. The current state is available on the following page: THE Chancellor Masters AND Scholars OF THE University OF Oxford CHARITY, Oxford.
The visualizations for "The Chancellor, Masters and Scholars of the University of Oxford - EU funding (€149,919): Integrating morpho-phonology in speech recognition"
are provided by
North Data
and may be reused under the terms of the
Creative Commons CC-BY license.
