MODALITY corpus - SPEAKER 10 - COMMANDS C2

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 10: sex: man native speaker: no age: 26 The test material: COMMANDS C2 All recordings for all speakers are available at http://www.modality-corpus.org/ Sample still from the corpus(SPEAKER 10) 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.265 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）是一款面向英语单词录制的多模态数据库，总时长超过30小时。该数据库包含高分辨率、高帧率立体视频流，以及由麦克风阵列和笔记本电脑麦克风采集得到的音频信号。由于每一条语音片段均已完成标注，该语料库可用于开发音视频语音识别（Audio-Visual Speech Recognition, AVSR）系统；而带噪环境下的录制内容，则可用于测试语音识别系统的鲁棒性。该语料库的语言素材基于遥控器操控场景，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。录制时，说话者需单独朗读单词或按序列朗读单词，每位说话者共完成12组录制会话，其中6组在安静环境下录制，剩余6组则混入了三类干扰信号：交通声、嘈杂人声与工厂车间噪声。该语料库共收录42位说话者的录制内容，其中33位为男性，9位为女性。参与者构成如下：格但斯克理工大学多媒体系统系的20名学生与教职工、格但斯克大学英语与美国研究学院的5名学生，以及17名英语母语者。本数据集包含SPEAKER 10的录制内容与视觉特征：性别为男性，非英语母语使用者，年龄26岁，测试素材为指令集C2。所有说话者的全部录制内容均可在http://www.modality-corpus.org/获取，附语料库中SPEAKER 10的静态采样画面。由于该语料库体量庞大（总数据量约2.5 TB），每位说话者的录制内容均被打包为独立的ZIP压缩文件，单文件大小约4-7 GB。录制内容按照说话者的语言能力进行分组：A组（17位说话者）为英语母语者；非母语者（均为波兰籍）归入B组（25位说话者）。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 kSa/s，位深为16比特。视频文件采用Matroska多媒体容器格式（Matroska Multimedia Container Format, .mkv），内部封装了1080p分辨率、100 fps帧率的视频流，使用h.265编解码器（High 4:4:4 profile）进行压缩。".lab"后缀文件为文本文件，记录了音频文件中单词的位置信息，遵循HTK标注格式（HTK Label Format）。每一行标注内容包含起始与结束时间（单位为100纳秒）以及实际标注词，例如：1239620000 1244790000 FIVE，即单词"five"出现在音频的123.962秒至124.479秒区间内。每个录制文件对应的逐词信噪比（Signal-to-Noise Ratio, SNR）计算值也一并包含在ZIP压缩文件中。