New draft item

The speech database contains two subgroups of recordings of children's speech from different types of speakers. The first subgroup (healthy) consists of recordings of children without speech disorders; the second subgroup (patients) consists of recordings of children with SLI. These children have different degrees of severity (1 – mild, 2 – moderate, and 3 – severe). The speech therapists and specialists from Motol Hospital decided upon this classification. The children’s speech was recorded in the period 2003-2013. These databases were commonly created in a schoolroom or a speech therapist’s consulting room, in the presence of surrounding background noise. This situation simulates the natural environment in which the children live, and is important for capturing the normal behavior of children. The database of healthy children’s speech was created as a referential database for the computer processing of children’s speech. It was recorded on the SONY digital Dictaphone (sampling frequency, fs = 16 kHz, 16-bit resolution in stereo mode in the standardized wav format) and on the MD SONY MZ-N710 (sampling frequency, fs = 44.1 kHz, 16-bit resolution in stereo mode in the standardized wav format). The corpus was recorded in the natural environment of a schoolroom and in a clinic. This subgroup contains a total of 44 native Czech participants (15 boys, 29 girls) aged 4 to 12 years, and was recorded during the period 2003–2005. The database of children with SLI was recorded in a private speech therapist’s office. The children’s speech is captured by means of a SHURE lapel microphone using the solution by the company AVID (MBox – USB AD/DA converter and ProTools LE software) on an Apple laptop (iBook G4). The sound recordings are saved in the standardized wav format. The sampling frequency is set to 44.1 kHz with 16-bit resolution in mono mode. This subgroup contains a total of 54 native Czech participants (35 boys, 19 girls) aged 6 to 12 years, and was recorded during the period 2009–2013. This package contains wav data sets for development and testing methods for detection children with SLI. Software pack:FORANA - was developed the original software FORANA for formants analysis. It is based on the MATLAB programming environment. The development of this software was mainly driven by the need to have the ability to complete formant analysis correctly and full automation of the process of extracting formants from the recorded speech signals. Development of this application is still running. Software was developed in the LANNA at CTU FEE in Prague. LABELING - the program LABELING is used for segmentation of the speech signal. It is a part of SOMLab program system. Software was developed in the LANNA at CTU FEE in Prague. PRAAT - is an acoustic analysis software. The Praat program was created by Paul Boersma and David Weenink of the Institute of Phonetics Sciences of the University of Amsterdam. Home page:http://www.praat.org or http://www.fon.hum.uva.nl/praat/. openSMILE - The openSMILE feature extration tool enables you to extract large audio feature spaces in realtime. It combines features from Music Information Retrieval and Speech Processing. SMILE is an acronym forSpeech & Music Interpretation by Large-space Extraction. It is written in C++ and is available as both a standalone commandline executable as well as a dynamic library. The main features of openSMILE are its capability of on-line incremental processing and its modularity. Feature extractor components can be freely interconnected to create new and custom features, all via a simple configuration file. New components can be added to openSMILE via an easy binary plugin interface and a comprehensive API. Citing: Florian Eyben, Martin Wöllmer, Björn Schuller: "openSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor", In Proc. ACM Multimedia (MM), ACM, Florence, Italy, ACM, ISBN 978-1-60558-933-6, pp. 1459-1462, October 2010. doi:10.1145/1873951.1874246本语音数据库包含两类针对不同受试群体的儿童语音录制子数据集。第一子数据集（健康组）收录无言语障碍儿童的语音录制样本；第二子数据集（患者组）收录患有特定语言障碍（Specific Language Impairment, SLI）儿童的语音录制样本。这些受试儿童存在不同程度的病情严重程度分级：1为轻度、2为中度、3为重度，该分类由莫托勒医院（Motol Hospital）的言语治疗师与相关专家确定。所有受试儿童的语音录制周期均为2003年至2013年，两类子数据集的录制场景多为教室或言语治疗师诊室，且存在一定环境背景噪声——该设置模拟了儿童日常所处的自然环境，有助于采集到符合儿童真实言语行为的样本。 健康儿童语音数据库作为儿童语音计算机处理的参照数据集构建完成，其录制设备包括索尼（SONY）数字录音笔（采样频率fs=16kHz，立体声模式下16位分辨率，采用标准WAV（wav）格式存储）与索尼MD MZ-N710（采样频率fs=44.1kHz，立体声模式下16位分辨率，采用标准WAV（wav）格式存储）。该子数据集的录制场景涵盖教室与诊所，共包含44名捷克本土受试儿童（15名男孩、29名女孩），年龄区间为4至12岁，录制周期为2003年至2005年。 患有SLI的儿童语音数据库则录制于私人言语治疗师诊室，采用舒尔（SHURE）领夹麦克风采集语音信号，并搭配AVID公司的解决方案（MBox——USB AD/DA转换器（AD/DA converter）与ProTools LE软件），录制设备为苹果（Apple）iBook G4笔记本电脑。语音录制文件均采用标准WAV（wav）格式存储，采样频率设置为44.1kHz，单声道模式下16位分辨率。该子数据集共包含54名捷克本土受试儿童（35名男孩、19名女孩），年龄区间为6至12岁，录制周期为2009年至2013年。 本数据包包含用于开发与测试儿童SLI检测方法的WAV格式数据集。附带的软件包如下： 1. FORANA：一款原生共振峰（formants）分析软件，基于MATLAB编程环境开发，旨在实现语音信号共振峰的准确分析与提取过程的全自动化，目前仍处于持续开发阶段，由布拉格捷克理工大学电子工程学院LANNA实验室研发。 2. LABELING：一款语音信号分割工具，隶属于SOMLab程序系统，由布拉格捷克理工大学电子工程学院LANNA实验室研发。 3. PRAAT：声学分析软件，由阿姆斯特丹大学语音科学研究所的Paul Boersma与David Weenink开发，官方主页为：http://www.praat.org 或 http://www.fon.hum.uva.nl/praat/。 4. openSMILE：开源音频特征提取工具，支持实时提取大规模音频特征空间，融合了音乐信息检索与语音处理领域的特征。其中SMILE为“Speech & Music Interpretation by Large-space Extraction”的缩写。该工具采用C++语言编写，可作为独立命令行可执行文件或动态库使用，核心特性为在线增量处理能力与模块化设计。用户可通过简单的配置文件自由互连特征提取组件以构建自定义特征，还可通过便捷的二进制插件接口与完整API添加新组件。 引用文献：Florian Eyben, Martin Wöllmer, Björn Schuller: "openSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor", In Proc. ACM Multimedia (MM), ACM, Florence, Italy, ACM, ISBN 978-1-60558-933-6, pp. 1459-1462, October 2010. doi:10.1145/1873951.1874246