Add to ORKGSpiess T, Wrede B, Kummert F, Fink GA. Data-driven Pronunciation Modeling for ASR using Acoustic Subword Units. In: Proc. European Conf. on Speech Communication and Technology. Geneva; 2003: 2549-2552
In the context of ASR systems it is of major importance to accurately model the allophonic variation...
Computer speech recognition gains more and more attention these days with its implementation in near...
ition (ASR): precisely on both English and German ASR track. Only primary submissions have been sent...
Spiess T, Wrede B, Kummert F, Fink GA. Data-driven Pronunciation Modeling for ASR using Acoustic Sub...
Contains fulltext : 76182.pdf (publisher's version ) (Closed access)22 p
Contains fulltext : 76241.pdf (author's version ) (Open Access
Contains fulltext : 76193.pdf (author's version ) (Open Access)4 p
Contains fulltext : 76204.pdf (author's version ) (Open Access)ISCA Tutorial and R...
Data-Driven Pronunciation Generation for ASR Maria Obedkova In ASR systems, dictionaries are usually...
This paper focuses on modeling pronunciation variation in two di�erent ways: data-derived and knowle...
One of the key challenges involved in building statistical automatic speech recog-nition (ASR) syste...
Current automatic speech recognition (ASR) research is focused on recognition of continuous, sponta...
In today's society, speech recognition systems have reached a mass audience, especially in the field...
One of the challenges in automatic speech recognition is how to handle pronunciation variation. The ...
Contains fulltext : 76450.pdf (author's version ) (Open Access)Interspeech 2009, 0...
In the context of ASR systems it is of major importance to accurately model the allophonic variation...
Computer speech recognition gains more and more attention these days with its implementation in near...
ition (ASR): precisely on both English and German ASR track. Only primary submissions have been sent...
Spiess T, Wrede B, Kummert F, Fink GA. Data-driven Pronunciation Modeling for ASR using Acoustic Sub...
Contains fulltext : 76182.pdf (publisher's version ) (Closed access)22 p
Contains fulltext : 76241.pdf (author's version ) (Open Access
Contains fulltext : 76193.pdf (author's version ) (Open Access)4 p
Contains fulltext : 76204.pdf (author's version ) (Open Access)ISCA Tutorial and R...
Data-Driven Pronunciation Generation for ASR Maria Obedkova In ASR systems, dictionaries are usually...
This paper focuses on modeling pronunciation variation in two di�erent ways: data-derived and knowle...
One of the key challenges involved in building statistical automatic speech recog-nition (ASR) syste...
Current automatic speech recognition (ASR) research is focused on recognition of continuous, sponta...
In today's society, speech recognition systems have reached a mass audience, especially in the field...
One of the challenges in automatic speech recognition is how to handle pronunciation variation. The ...
Contains fulltext : 76450.pdf (author's version ) (Open Access)Interspeech 2009, 0...
In the context of ASR systems it is of major importance to accurately model the allophonic variation...
Computer speech recognition gains more and more attention these days with its implementation in near...
ition (ASR): precisely on both English and German ASR track. Only primary submissions have been sent...