Abstract in simplified Chinese:本案提供一种声振动传感器,亦称为语音传感设备。声振动传感器接收人类讲话者之语音信号,并且因应地产生代表人音之电信号。声振动传感器包含至少一位于邻接前孔口之隔膜及至少一链接器。链接器将第一组信号连接于隔膜,同时使隔膜隔离第二组信号。链接器包含至少一种具有声阻抗符合人皮声阻抗之材料。
Abstract in simplified Chinese:本发明系在叙述利用数个麦克风的配置接收环境中之声音频号,其包含可携式听筒及头戴话机设备的通信系统。该麦克风配置包含,例如,一包含二个单一指向性麦克风之双麦克风数组,以及一包含一个单一指向性麦克风及一个全指向性麦克风的双麦克风数组。该通信系统亦包含语音活动侦测(VAD)设备以提供人类语音活动的信息。该通信系统的构件则接收声音频号及语音活动信号,并接着自动从语音活动信号的数据中产生控制信号。该通信系统的构件利用该控制信号自动选择适合声音频号之频率次波段数据的去噪音方法,而当声音频号包含语音及噪音时,所选择之方法则被应用到该声音频号以产生去噪音的声音频号。
Abstract in simplified Chinese:本案系提供一种噪音抑制于使用声音变化侦测器(VAD)的多麦克风系统中。一宿主系统系透过多麦克风接收声音信号。该系统系接收透过VAD与人声变化相关的人体组织振动信息。在决定有声信息不存在所接收的声音信号一段特定的期间后,该系统系产生一转换函数代表所接收的声音信号。该系统使用该转缓函数,自该所接收的声音信号移除噪音,因而产生一去噪音的声音数据流。
Abstract in simplified Chinese:本案系提供一种噪音抑制于使用声音变化侦测器(VAD)的多麦克风系统中。一宿主系统系透过多麦克风接收声音信号。该系统系接收透过VAD与人声变化相关的人体组织振动信息。在决定有声信息不存在所接收的声音信号一段特定的期间后,该系统系产生一转换函数代表所接收的声音信号。该系统使用该转缓函数,自该所接收的声音信号移除噪音,因而产生一去噪音的声音数据流。
Abstract in simplified Chinese:本发明系揭示用于信号处理系统的语音活动侦测(VoiceActivityDetection,VAD)设备、系统及其方法,用以去除声音频号之噪声。一信号处理系统以及/或者VAD系统之组件接收声音频号与语音活动信号,控制信号会自动从语音活动信号的数据中产生。该信号处理系统以及/或者VAD系统之组件使用控制信号,以自动选择一消除噪声之方法,其系合乎声音频号的副频带数据。所选消除噪声之方法系用来处理该声音频号,以产生消除噪声的声音频号。
Abstract:
Systems, apparatuses, devices, and methods for wireless communications are disclosed. A detection system is used to detect a usage mode or orientation of a wireless communication device. The usage mode or orientation is used to vary the radiation pattern of the antenna of the wireless communication device. By varying the radiation pattern based on the usage mode or orientation, battery life and the quality of transmission and reception can be increased, while the size and cost of the device can be reduced. Embodiments of the invention may be used in numerous applications, such as mobile phones, PDA's, and laptops.
Abstract:
The various embodiments of the invention relate generally to portable devices and systems, including wearable devices, that include sensors that are used for sensing the physiological, emotional and/or environmental condition of a person carrying, wearing or otherwise using the device or system and more specifically, to an architecture and method reducing the power consumption of such devices and systems that include one or more sensors. In an embodiment, a wearable device includes one or more sensors, sensor data power optimization controller, a power-clock controller, a memory optimizer and a sensor optimizer.
Abstract:
A voice activity detector (VAD) combines the use of an acoustic VAD and a vibration sensor VAD as appropriate to the conditions a host device is operated. The VAD includes a first detector receiving a first signal and a second detector receiving a second signal. The VAD includes a first VAD component coupled to the first and second detectors. The first VAD component determines that the first signal corresponds to voiced speech when energy resulting from at least one operation on the first signal exceeds a first threshold. The VAD includes a second VAD component coupled to the second detector. The second VAD component determines that the second signal corresponds to voiced speech when a ratio of a second parameter corresponding to the second signal and a first parameter corresponding to the first signal exceeds a second threshold.
Abstract:
A voice activity detector (VAD) combines the use of an acoustic VAD and a vibration sensor VAD as appropriate to the conditions a host device is operated. The VAD includes a first detector receiving a first signal and a second detector receiving a second signal. The VAD includes a first VAD component coupled to the first and second detectors. The first VAD component determines that the first signal corresponds to voiced speech when energy resulting from at least one operation on the first signal exceeds a first threshold. The VAD includes a second VAD component coupled to the second detector. The second VAD component determines that the second signal corresponds to voiced speech when a ratio of a second parameter corresponding to the second signal and a first parameter corresponding to the first signal exceeds a second threshold.
Abstract:
Acoustic Voice Activity Detection (AVAD) methods and systems are described. The AVAD methods and systems, including corresponding algorithms or programs, use microphones to generate virtual directional microphones which have very similar noise responses and very dissimilar speech responses. The ratio of the energies of the virtual microphones is then calculated over a given window size and the ratio can then be used with a variety of methods to generate a VAD signal. The virtual microphones can be constructed using either an adaptive or a fixed filter.