ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

Wester, Mirjam
หน่วยงาน Edinburgh Research Archive, United Kingdom
จำนวนงานวิจัยจำแนกรายปี
บุคคลที่เคยร่วมงานวิจัย
ความเชี่ยวชาญ
ปี
# พ.ศ. จำนวน
1 2554 2
2 2553 7
3 2550 2
4 2548 1
5 2547 3
6 2546 3
7 2545 1
8 2544 3
9 2543 4
10 2542 3
11 2541 6
12 2540 3
ผลงานวิจัย
# หัวเรื่อง
ปี พ.ศ. 2554
1 Speaker similarity evaluation of foreign-accented speech synthesis using HMM-based speaker adaptation
2 The EMIME Mandarin Bilingual Database
ปี พ.ศ. 2553
3 Cross-lingual talker discrimination
4 Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project
5 Cross-lingual talker discrimination
6 Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project
7 Personalising speech-to-speech translation in the EMIME project
8 Unsupervised Cross-lingual Speaker Adaptation for HMM-based Speech Synthesis
9 The EMIME Bilingual Database
ปี พ.ศ. 2550
10 Articulatory feature recognition using dynamic Bayesian networks.
11 Speech production knowledge in automatic speech recognition
ปี พ.ศ. 2548
12 An elitist approach to automatic articulatory-acoustic feature classification for phonetic characterization of spoken language.
ปี พ.ศ. 2547
13 Articulatory Feature Recognition Using Dynamic Bayesian Networks
14 Asynchronous Articulatory Feature Recognition Using Dynamic Bayesian networks
15 On the Articulatory Representation of Speech within the Evolving Transformation System Formalism
ปี พ.ศ. 2546
16 Syllable Classification Using Articulatory-Acoustic Features
17 Automatic Transcription of Football Commentaries in the MUMIS Project
18 Pronunciation modeling for ASR - knowledge-based and data-derived methods.
ปี พ.ศ. 2545
19 Goal-Directed ASR in a Multimedia Indexing and Searching Environment (MUMIS)
ปี พ.ศ. 2544
20 An Elitist Approach to Articulatory-Acoustic Feature Classification
21 Obtaining phonetic transcriptions: a comparison between expert listeners and a continuous speech recognizer.
22 A Dutch treatment of an elitist approach to articulatory-acoustic feature classification.
ปี พ.ศ. 2543
23 Automatic detection and verification of Dutch phonological rules
24 Using Dutch phonological rules to model pronunciation variation in ASR
25 Pronunciation Variation in ASR: Which Variation to Model?
26 A Comparison of Data-Derived and Knowledge-Based Modeling of Pronunciation Variation
ปี พ.ศ. 2542
27 Improving the performance of a Dutch CSR by modeling within-word and cross-word pronunciation variation
28 Modeling within-word and cross-word pronunciation variation to improve the performance of a Dutch CSR.
29 Comparison between expert listeners and continuous speech recognizers in selecting pronunciation variants.
ปี พ.ศ. 2541
30 Two Automatic Approaches for Analyzing Connected Speech Processes in Dutch
31 Modeling Pronunciation Variation for a Dutch CSR: Testing Three Methods
32 The Selection of Pronunciation Variants: Comparing the Performance of Man and Machine
33 Selection of Pronunciation Variants in Spontaneous Speech: Comparing the Performance of Man and Machine
34 Improving the Performance of a Dutch CSR by Modeling Pronunciation Variation
35 Automatic Classification of Voice Quality: Comparing Regression Models and Hidden Markov Models
ปี พ.ศ. 2540
36 Modelling pronunciation variation: some preliminary results.
37 Testing a method for modelling pronunciation variation.
38 Improving recognition performance by modelling pronunciation variation.