SpeechData
Related Papers
The MIT SUMMIT Speech Recognition System: A Progress Report
Recently, we initiated a project to develop a phonetically-based spoken language understanding system called SUMMIT. In contrast to many of the past efforts that make use of heuristic rules whose …...
Named Entity Scoring for Speech Input
This paper describes a new scoring algorithm that supports comparison of linguistically annotated data from noisy sources. The new algorithm generalizes the Message Understanding Conference (MUC) Named Entity scoring algorithm, …...
A Fully Annotated Corpus of Russian Speech
AbstractThe paper introduces CORPRES ― a fully annotated Russian speech corpus developed at the Department of Phonetics, St. Petersburg State University as a result of a three-year project. The corpus …...
Assembling the Kazakh Language Corpus
This paper presents the Kazakh Language Corpus (KLC), which is one of the first attempts made within a local research community to assemble a Kazakh corpus. KLC is designed to …...
The MMASCS multi-modal annotated synchronous corpus of audio, video, facial motion and tongue motion data of normal, fast and slow speech
AbstractIn this paper, we describe and analyze a corpus of speech data that we have recorded in multiple modalities simultaneously: facial motion via optical motion capturing, tongue motion via electro-magnetic …...
Semi-automatically Alignment of Predicates between Speech and OntoNotes data
AbstractSpeech data currently receives a growing attention and is an important source of information. We still lack suitable corpora of transcribed speech annotated with semantic roles that can be used …...
The IPR-cleared Corpus of Contemporary Written and Spoken Romanian Language
AbstractThe article describes the current status of a large national project, CoRoLa, aiming at building a reference corpus for the contemporary Romanian language. Unlike many other national corpora, CoRoLa contains …...
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing
AbstractWhen learning POS taggers and syntactic chunkers for low-resource languages, different resources may be available, and often all we have is a small tag dictionary, motivating type-constrained unsupervised induction. Even …...
Detecting de minimis Code-Switching in Historical German Books
AbstractCode-switching has long interested linguists, with computational work in particular focusing on speech and social media data (Sitaram et al., 2019). This paper contrasts these informal instances of code-switching to …...
Incorporating speaker embedding and post-filter network for improving speaker similarity of personalized speech synthesis system
AbstractIn recent years, speech synthesis system can generate speech with high speech quality. However, multi-speaker text-to-speech (TTS) system still require large amount of speech data for each target speaker. In …...