MODALITY corpus - SPEAKER 27 - SEQUENCE S2

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 27: sex: man native speaker: yes age: 60 The test material: SEQUENCE S2 All recordings for all speakers are available at http://www.modality-corpus.org/ Sample still from the corpus(SPEAKER 27) 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语料库是一款面向英文单词录制的多模态数据库，总计包含超过30小时的多模态录制数据。该数据库收录了高分辨率、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视听语音识别（Audio-Visual Speech Recognition, AVSR）系统；带噪录制数据则可用于测试语音识别系统的鲁棒性。 其语言素材基于远程操控场景，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，受试者分别朗读单个单词与单词序列，每位受试者需完成12组录制会话；其中半数会话在安静环境下录制，另一半则添加了三类干扰信号：交通声、人声嘈杂声与工厂环境噪声。 该语料库共收录42位受试者的录制数据，其中男性33名、女性9名。受试者群体包括：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名以英语为母语的受试者。 本次数据集包含受试者27号的录制数据与视觉特征：性别为男，母语为英语，年龄60岁。测试素材为序列S2。 所有受试者的全部录制数据均可通过 http://www.modality-corpus.org/ 获取。 语料库样本帧（受试者27号） 由于该语料库总数据量约为2.5TB，每位受试者的录制数据均单独打包为大小约4-7GB的ZIP压缩文件。 录制数据按受试者的语言能力分为两组：A组共17人，均为以英语为母语的受试者；非母语受试者（波兰籍）的数据归入B组，总计25人。 音频文件采用波形音频文件格式（Waveform Audio File Format，.wav），包含单通道脉冲编码调制（Pulse Code Modulation, PCM）音频流，采样率为44.1千采样每秒（kSa/s），位深为16比特。 视频文件采用Matroska多媒体容器格式（.mkv），内部封装了1080p分辨率、100帧每秒采集的视频流，该视频流使用h.264编解码器（High 4:4:4配置文件）进行压缩。 .lab格式文件为文本文件，遵循HTK标注格式，用于记录音频文件中单词的位置信息。.lab文件的每一行均以起始与结束时间（单位为100纳秒）开头，后跟实际标注内容。例如：1239620000 1244790000 FIVE 表示单词"five"出现在音频的123.962秒至124.479秒区间内。所有录制数据的逐词精确信噪比（Signal-to-Noise Ratio, SNR）计算值也一并包含在ZIP压缩文件中。