Titlebook: Human Language Technology. Challenges for Computer Science and Linguistics; 4th Language and Tec Zygmunt Vetulani Conference proceedings 20

anticipate

Corpus Design for a Unit Selection TtS System with Application to Bulgarianh was based on. A novel multi-stage approach is presented, with special attention given to language and speaker dependent issues, as they affect the entire process. The paper concludes with the presentation of our results and the evaluation experiments, which provide clear evidence of the quality level achieved.

limber

Automatic Identification of Phonetic Similarity Based on Underspecificationrecognised observed properties can be predicted based on a combination of these factors and as such can serve as an important additional source of information for the purposes of modelling pronunciation variation.

尖叫

Pronunciation and Writing Variants in an Under-Resourced Language: The Case of Luxembourgish Mobile tes and 10k words from news reports, we examine the reality of MND variants in written transcripts of speech. The goal of this study is manyfold: quantify the potential of variation due to MND in written Luxembourgish, check the mandatory status of the MND rule and discuss the arising problems for automatic spoken Luxembourgish processing.

Ptosis

Exclaim

聲音刺耳

Phonetically Transcribed Speech Corpus Designed for Context Based European Portuguese TTSd the vocalic reduction effects, which is another typical phenomenon of EP language. The paper describes the corpus and presents the results in total number of phonemes and their distribution in the word and the sentence, and the total number of diphones, considering and not considering the vocalic reduction for the phonetic transcription.

Ige326

領(lǐng)先

Morpheme-Based and Factored Language Modeling for Amharic Speech Recognition The lattices have then been rescored by means of various morpheme-based and factored language models. A slight improvement in word recognition accuracy has been observed with morpheme-based language models while factored language models led to notable improvements in word recognition accuracy.

售穴

彎曲道理