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Full catalogue 155 resources
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Sundanese ASR training data set containing ~220K utterances. This data set contains transcribed audio data for Sundanese. The data set consists of wave files, and a TSV file. The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file. The data set has been manually quality checked, but there might still be errors. This dataset was collected by Google in Indonesia.
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Korean Open-source Speech Corpus for Speech Recognition by Zeroth Project. The data set contains transcriebed audio data for Korean. There are 51.6 hours transcribed Korean audio for training data (22,263 utterances, 105 people, 3000 sentences) and 1.2 hours transcribed Korean audio for testing data (457 utterances, 10 people). This corpus also contains pre-trained/designed language model,...
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This data is transcribed speech data, in Amharic and Swahili and Wolof.
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Aishell is an open-source Chinese Mandarin speech corpus published by Beijing Shell Shell Technology Co.,Ltd. 400 people from different accent areas in China are invited to participate in the recording, which is conducted in a quiet indoor environment using high fidelity microphone and downsampled to 16kHz. The manual transcription accuracy is above 95%, through professional speech annotation...
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A composite dataset with eight videos (totaling the pronunciation of seventeen words, with intervals, sagittal plane, and gray scale), for experiments in computer vision, video processing, and articulation investigation of the vocal tract.
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African Accented French Corpus This corpus consists of approximately 22 hours of speech recordings. Transcripts are provided for all the recordings. The corpus can be divided into 3 parts: 1. Yaounde Collected by a team from the U.S. Military Academy's Center for Technology Enhanced Language Learning (CTELL) in 2003 in Yaoundé, Cameroon. It has recordings from 84 speakers, 48 male and 36...
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PhonemeDF is a large-scale phoneme-level parallel dataset of real and synthetic speech (approximately 730 hours), designed for audio deepfake detection and speech naturalness evaluation. The dataset consists of real speech samples derived from a subset of the LibriSpeech corpus (train-clean-100) and corresponding synthetic speech generated using four Text-to-Speech (TTS) systems (MeloTTS,...
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This is the Zenodo repository for the ASVspoof 5 database. ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech spoofing and deepfake attacks, and the design of detection solutions. Compared to previous challenges, the ASVspoof~5 database is built from crowdsourced data collected from around 2,000 speakers in diverse acoustic conditions. More than 20...
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All existing databases of spoofed speech contain attack data that is spoofed in its entirety. In practice, it is entirely plausible that successful attacks can be mounted with utterances that are only partially spoofed. By definition, partially-spoofed utterances contain a mix of both spoofed and bona fide segments, which will likely degrade the performance of countermeasures trained with...
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We are releasing the rtMRIDB Speech Organ Contour Data Ver. 0.9 (abb. rtMRI_cont). This dataset provides numerical data extracted from each frame of the real-time MRI videos published in the Realtime MRI Articulatory Movement Database, Ver. 2 (rtMRIDB_v2) [1], containing contour information of speech organs. Since this dataset may be updated in the near future, it is being released as a...
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This is a database of moving images of the midsagittal section of the vocal tract during the production of Japanese utterances, recorded at a rate of 14 or 27 frames per second by using a medical MRI system with special operating settings. This data has realized the dream of articulatory phoneticians to visualize articulatory movements and may be widely used for critical review of the existing...
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English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of...
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The Sociolinguistic Archive and Analysis Project, at North Carolina State University, is an interactive web-based archive of sociolinguistic recordings, with integrated media playing and annotation features, as well as phonetic analysis and corpus analysis tools designed for enabling and improving empirical linguistic inquiry. The archive continues to grow over time. It currently contains (as...
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This dataset contains the synthetic stimuli used in the study published in the paper "A Comparative Study of 3D and 1D Acoustic Simulations of the Higher Frequencies of Speech". The goal of this study was to evaluate the accuracy of the acoustic wave propagation in the vocal tract in a source-filter synthesis paradigm with two perceptual experiments. The high frequencies (above 4 kHz) of the...
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Audio Data
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