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Towards Multilingual Interoperability in Automatic Speech Recognition
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In: DTIC (2000)
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Clustering of Context Dependent Speech Units for Multilingual Speech Recognition
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In: DTIC (2000)
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Speech Intelligibility of Native and Non-Native Speech
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In: DTIC (2000)
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Auditory Features Underlying Cross-Language Human Capabilities in Stop Consonant Discrimination
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In: DTIC (2000)
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| 7 |
Vowel System Modeling: A Complement to Phonetic Modeling in Language Identification
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In: DTIC (2000)
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Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks
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In: DTIC (2000)
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Abstract:
This paper presents three different methods to develop multilingual phone models for flexible speech recognition tasks. The main goal of our investigations is to find multilingual speech units which work equally well in many languages. With this universal set it is possible to build speech recognition systems for a variety of languages. One advantage of this approach is to share acoustic-phonetic parameters in a HMM based speech recognition system. The multilingual approach starts with the phone set of six languages ending up with 232 language-dependent and context-independent phone models. Then, we developed three different methods to map the language-dependent models to a multilingual phone set. The first method is a direct mapping to the phone set of the International Phonetic Association (IPA). In the second approach we apply an automatic clustering algorithm for the phone models. The third method exploits the similarities of single mixture components of the language-dependent models. Like the first method the language specific models are mapped to the IPA inventory. In the second step an agglomerative clustering is performed on density level to find regions of similarities between the phone models of different languages. The experiments carried out with the SpeechDat(M) database show that the third method yields in almost the same recognition rate as with language-dependent models. However, using this method we observe a huge reduction of the number of densities in the multilingual system. ; Presented at the Information Systems Technology Panel (IST) Tutorial and Workshop held in Leusden, The Netherlands, 13-14 September 1999. This article is from ADA387529 Multi-Lingual Interoperability in Speech Technology (l'Interoperabilite multilinguistique dans la technologie de la parole)
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Keyword:
*FOREIGN LANGUAGES; *MULTILINGUAL PHONE MODELS; *MULTILINGUAL SYSTEMS; *PHONETICS; *SPEECH RECOGNITION; *TELEPHONE SYSTEMS; ALGORITHMS; AUTOMATION; CLUSTERING; COMPONENT REPORTS; DENSITY; FOREIGN REPORTS; INTERNATIONAL; INVENTORY; LANGUAGE; Linguistics; MAPPING; MIXTURES; NATO FURNISHED; SYMPOSIA; VOCABULARY; Voice Communications; YIELD
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URL: http://www.dtic.mil/docs/citations/ADP010392
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP010392
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Speech Recognition of Non-Native Speech Using Native and Non-Native Acoustic Models
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In: DTIC (2000)
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Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification
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In: DTIC (2000)
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| 11 |
Multilingual Vocabularies in Automatic Speech Recognition
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In: DTIC (2000)
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| 12 |
Speech Recognition by Goats, Wolves, Sheep and Non-Natives
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In: DTIC (2000)
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SCoPE, Syllable Core and Periphery Evaluation: Automatic Syllabification and Application to Foreign Accent Identification
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In: DTIC (2000)
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A Military Operational Automatic Interpreting System
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In: DTIC (2000)
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| 15 |
Lessons Learned in Developing and Validating Models of Visual Search and Target Acquisition
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In: DTIC AND NTIS (2000)
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Assessing Camouflage Methods Using Textural Features
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In: DTIC AND NTIS (2000)
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Cameva, A Methodology for Estimation of Target Detectability
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In: DTIC AND NTIS (2000)
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When Theory Becomes Practice: Integrating Scientific Disciplines for Tactical Mission Analysis and Systems Development
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In: DTIC AND NTIS (2000)
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Multilingual Text-Independent Speaker Identification
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In: DTIC (2000)
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