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12 May 2016: CUED X-SAMPA attribute file has 215 entries (seen 64%). Interspeech 2014 5. ... X-SAMPA lexicon covering LLP training vocabulary. Language # Words Vocab Bigram LM(† syllables) Size PPL %OOV.

7 Nov 2013: A common X-SAMPA phone set was adopted for the multilingual. systems here. ... lated to the same X-SAMPA symbol, may be mismatched to that of.

10 Nov 2014: Since there is no equivalent to. X-SAMPA for tones, a new tonal marking scheme is proposed. ... subset of Cantonese, Pashto and Turkish phones to a ’standard’. X-SAMPA phone set.

12 May 2016: Multilingual STT for Spoken Term Detection. Phone Set Coverage! ". #!". $!". %!". &!". '!". '#!". '$!". ('!'" ('!$" ('!)" ('!%" ('!" ('!#" ('!" (#!'" (#!" (#!%"! "#$%&'()'(,%-'. • CUED X-SAMPA attribute file has 215 entries (seen 62%). ... mapped

23 Jun 2014: Since there is no equivalent to. X-SAMPA for tones, a new tonal marking scheme is proposed. ... X-SAMPA phones and their associated attributes (e.g. vowel,. front) and the lexicon for each language.

21 Jan 2015: X-SAMPA symbols. The above scheme has assumed that all unicode charactershave a distinct acoustic realisation. ... Note for the phonetic systemattributes for the phones were obtained from an X-SAMPA look-uptable.

12 May 2016: Multilingual STT for Spoken Term Detection. Phone Set Coverage! ". #!". $!". %!". &!". '!". '#!". '$!". ('!'" ('!$" ('!)" ('!%" ('!" ('!#" ('!" (#!'" (#!" (#!%"! "#$%&'()'(,%-'. • CUED X-SAMPA attribute file has 215 entries (seen 62%). ... mapped

6 Jun 2014: This was found to yield additional robustto rare phones, for example the X-SAMPA phone /kx/ in Zulu. ... The statesfor unseen phones for the target language are determined using thephonetic attributes from X-SAMPA.

10 Nov 2014: This was found to yield additional robustto rare phones, for example the X-SAMPA phone /kx/ in Zulu. ... The statesfor unseen phones for the target language are determined using thephonetic attributes from X-SAMPA.

18 May 2015: Note, for the phonetic systemphone attributes were obtained from an X-SAMPA look-up table. ... For each languagethere was approximately 10 hours of CTS distributed. For all theBabel languages, high quality X-SAMPA lexicons are available.

10 Nov 2014: Questions involving X-SAMPA attribute and po-sition of the phone in the word were then used. ... This was foundto provide additional robustness to the rare phones, for examplethe X-SAMPA phone /kx/ in Zulu.

23 Jun 2014: Questions involving X-SAMPA attribute and po-sition of the phone in the word were then used. ... This was foundto provide additional robustness to the rare phones, for examplethe X-SAMPA phone /kx/ in Zulu.

29 Nov 2017: Very Limited: 3 hours transcribed speech• additional untranscribed audio data available• 10 hour Development and Evaluation sets• Lexicon covering training vocabulary• X-SAMPA phone set. •

18 May 2015: The remaining 4 languagesserve as the held-out languages. Each LLP contains roughly 10hours of training data, an equivalent amount of development data, X-SAMPA phone set and lexicon.

13 Jun 2013: Thelexicon uses a variant of the X-SAMPA phone set, and includes syl-labification and annotation with seven different tones.

6 Apr 2015: The remaining 4 languagesserve as the held-out languages. Each LLP contains roughly 10hours of training data, an equivalent amount of development data, X-SAMPA phone set and lexicon.

3 Apr 2014: We employeda phone set based on X-SAMPA and a language model trained withthe Vietnamese FLP transcripts.

17 Nov 2021: Deep Learning for AutomaticAssessment and Feedback of Spoken. English. Konstantinos Kyriakopoulos. Supervisor: Prof. Mark J.F. Gales. Department of EngineeringUniversity of Cambridge. This thesis is submitted for the degree of Doctor of Philosophy.