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Found 9 papers, 0 papers with code
Domain-Informed Probing of wav2vec 2.0 Embeddings for Phonetic Features
In recent years large transformer model architectures have become available which provide a novel means of generating high-quality vector representations of speech audio.
The Influence of Regional Pronunciation Variation on Children’s Spelling and the Potential Benefits of Accent Adapted Spellcheckers
A child who is unfamiliar with the correct spelling of a word often employs a “sound it out” approach: breaking the word down into its constituent sounds and then choosing letters to represent the identified sounds.
Enhancing conversational quality in language learning chatbots: An evaluation of GPT4 for ASR error correction
The integration of natural language processing (NLP) technologies into educational applications has shown promising results, particularly in the language learning domain.
Investigating the Sensitivity of Automatic Speech Recognition Systems to Phonetic Variation in L2 Englishes
A deeper understanding of the behaviour of an ASR system is thus beneficial from a speech technology standpoint, in terms of improving ASR accuracy, and from an annotation standpoint, where knowing the likely errors made by an ASR system can aid in this manual correction.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Unsupervised domain adaptation for speech recognition with unsupervised error correction
The transcription quality of automatic speech recognition (ASR) systems degrades significantly when transcribing audios coming from unseen domains.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
English to Indonesian Transliteration to Support English Pronunciation Practice
The work presented in this paper explores the use of Indonesian transliteration to support English pronunciation practice.
Evaluating expressive speech synthesis from audiobook corpora for conversational phrases
In our previous research we have shown that it is possible to detect different expressive voice styles represented in a particular audiobook, using unsupervised clustering to group the speech corpus of the audiobook into smaller subsets representing the detected voice styles.
Rapidly Testing the Interaction Model of a Pronunciation Training System via Wizard-of-Oz
An experiment was conducted in this work that combines the MySpeech service with the WebWOZ Wizard-of-Oz platform (http://www. webwoz. com), in order to improve the human-computer interaction (HCI) of the service and the feedback that it provides to the user.
