Pronunciation variant analysis using speaking style parallel corpus
نویسندگان
چکیده
To improve the recognition accuracy for spontaneous conversational speech, we collected a corpus to study how spontaneous conversational speech differs from read style speech. The corpus consists of two parts: 1) spontaneous conversational speech and 2) read speech with the same word transcriptions as the conversational speech. In word and phone recognition experiments, it was confirmed that, for the Japanese language, the recognition of spontaneous speech is harder than that of read speech. By comparing of recognition results, we found that, both in the occurrence of errors appearing with speaking style changes, and in the types of pronunciation variants, there are differences that depend on the linguistic categories that misrecognized words belong to. We confirmed that linguistic categories also affect pronunciation variants that deteriorate the recognition accuracy.
منابع مشابه
Pronunciation Variants Across Systems, Languages and Speaking Style
This contribution aims at evaluating the use of pronunciation variants across different system configurations, languages and speaking styles. This study is limited to the use of variants during speech alignment, given an orthographic transcription and a phonemically represented lexicon, thus focusing on the modeling abilities of the acoustic word models. Parallel and sequential variants are tes...
متن کاملDetailed pronunciation variant modeling for speech transcription
Modeling pronunciation variants is an important topic for automatic speech recognition. This paper investigates the pronunciation modeling at the lexical level, and presents a detailed modeling of the probabilities of the pronunciation variants. The approach is evaluated on the French ESTER2 corpus, and a significant word error rate reduction is achieved through the use of context and speaking ...
متن کاملAccuracy Analysis of Generalized Pronunciation Variant Selection in ASR Systems
Automated speech recognition systems work typically with pronunciation dictionary for generating expected phonetic content of particular words in recognized utterance. But the pronunciation can vary in many situations. Besides the cases with more possible pronunciation variants specified manually in the dictionary there are typically many other possible changes in the pronunciation depending on...
متن کاملTranscription and annotation of a Japanese accented spoken corpus of L 2 Spanish for the development of CAPT applications
This paper addresses the process of transcribing and annotating spontaneous non-native speech with the aim of compiling a training corpus for the development of Computer Assisted Pronunciation Training (CAPT) applications, enhanced with Automatic Speech Recognition (ASR) technology. To better adapt ASR technology to CAPT tools, the recognition systems must be trained with non-native corpora tra...
متن کاملSpeaking mode dependent pronunciation modeling in large vocabulary conversational speech recognition
In spontaneous conversational speech there is a large amount of variability due to accents, speaking styles and speaking rates (also known as the speaking mode) [3]. Because current recognition systems usually use only a relatively small number of pronunciation variants for the words in their dictionaries, the amount of variability that can be modeled is limited. Increasing the number of varian...
متن کامل