MODALITY corpus - SPEAKER 13 - SEQUENCE S1

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems. The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise). The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers. The dataset consist of recordings and visual features for SPEAKER 13: sex: man native speaker: no age: 43 The test material: SEQUENCE S1 All recordings for all speakers are available at http://www.modality-corpus.org/ Sample still from the corpus(SPEAKER 13) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each. The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers). The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.

MODALITY语料库（MODALITY corpus）是一款英语单词录制类多模态数据库，涵盖超过30小时的多模态录制数据。该数据库包含高分辨率、高帧率的立体视频流，以及由麦克风阵列与笔记本电脑麦克风采集得到的音频信号。
该语料库可用于开发音视频语音识别（Audio-Visual Speech Recognition, AVSR）系统，因每一段语音均已完成标注。带噪环境下的录制数据可用于测试语音识别系统的鲁棒性。
其语言素材基于遥控器操控场景，共涵盖231个单词，包括数字、月份与星期名称，以及一组与计算机设备操控相关的动词和名词。录制者以单个单词或单词序列的形式进行朗读，每位录制者需完成12次录制会话。其中半数会话在安静环境下录制，剩余半数则包含三类干扰信号：交通噪声、人声嘈杂噪声与工厂环境噪声。
该语料库共收录42位录制者的音频数据（33位男性、9位女性）。参与者包括格但斯克理工大学多媒体系统系的20名学生与教职工、格但斯克大学英美研究学院的5名学生，以及17名英语母语者。
本数据集包含SPEAKER 13的录制数据与视觉特征：性别为男性，非英语母语者，年龄43岁。测试素材：序列S1。
所有录制者的全部录制数据均可通过http://www.modality-corpus.org/ 获取，附带一段来自SPEAKER 13的语料库静态样本截图。
由于该语料库总数据量约为2.5 TB，每位录制者的录制数据均打包为独立的ZIP压缩文件，单文件大小约为4-7 GB。录制数据按照录制者的语言能力分为两组：A组（17位录制者）为英语母语者；非母语者（波兰籍）归入B组（25位录制者）。
音频文件采用波形音频文件格式（Waveform Audio File Format, .wav），包含单路PCM音频流，采样率为44.1千采样每秒（kSa/s），采样深度为16比特。
视频文件采用Matroska多媒体容器格式（Matroska Multimedia Container Format, .mkv），其中封装了经h.264编解码器（采用High 4:4:4配置文件）压缩后的1080p分辨率视频流，帧率为100 fps。
".lab"文件为文本格式标注文件，包含音频文件中单词的位置信息，遵循HTK标注格式（HTK label format）。每一行标注内容以起始与结束时间（单位为100纳秒）开头，后跟实际标注文本，示例如下：1239620000 1244790000 FIVE，即表示单词"five"出现在音频的123.962秒至124.479秒区间内。每个录制数据的逐词信噪比（Signal-to-Noise Ratio, SNR）计算值也一并包含在ZIP压缩文件中。