Data organizational scheme for enhanced selection of gain parameters for speech coding
    51.
    发明授权
    Data organizational scheme for enhanced selection of gain parameters for speech coding 有权
    用于增强语音编码增益参数选择的数据组织方案

    公开(公告)号:US06397178B1

    公开(公告)日:2002-05-28

    申请号:US09157083

    申请日:1998-09-18

    申请人: Adil Benyassine

    发明人: Adil Benyassine

    IPC分类号: G10L1100

    CPC分类号: G10L19/083

    摘要: A vector quantizer (VQ) table is arranged in increasing order with regard to a gc gain value (as may be represented by a prediction error energy En). The single stage VQ table is then organized into two-dimensional bins, with each bin arranged in increasing order of a gp gain value. A one-dimensional auxiliary scalar quantizer is constructed from the largest prediction error energy values from each bin. The prediction error energy values in the auxiliary scalar quantizer are arranged in increasing order of magnitude. In order to quantize input gain values, the auxiliary scalar table is searched for the best prediction error energy match. The VQ table bin corresponding to the best match in the auxiliary table is then searched for the best En and gp match. Nearby bins may also be searched for a more optimal combination. The selected best match is used to quantize the input gain values.

    摘要翻译: 关于gc增益值(可以由预测误差能量En表示),向量量化器(VQ)表以递增的顺序排列。 然后将单级VQ表组织成二维箱,每个箱按gp增益值的增加顺序排列。 一维辅助标量量化器是从每个仓的最大预测误差能量值构成的。 辅助标量量化器中的预测误差能量值按照增加的数量级排列。 为了量化输入增益值,搜索辅助标量表以获得最佳预测误差能量匹配。 然后搜索对应于辅助表中最佳匹配的VQ表格,以获得最佳的En和gp匹配。 还可以搜索附近的垃圾箱以获得更佳的组合。 所选的最佳匹配用于量化输入增益值。

    Speech encoder using gain normalization that combines open and closed loop gains
    52.
    发明授权
    Speech encoder using gain normalization that combines open and closed loop gains 有权
    使用组合开环和闭环增益的增益归一化的语音编码器

    公开(公告)号:US06260010B1

    公开(公告)日:2001-07-10

    申请号:US09156650

    申请日:1998-09-18

    IPC分类号: G10L1900

    摘要: A multi-rate speech codec supports a plurality of encoding bit rate modes by adaptively selecting encoding bit rate modes to match communication channel restrictions. In higher bit rate encoding modes, an accurate representation of speech through CELP (code excited linear prediction) and other associated modeling parameters are generated for higher quality decoding and reproduction. To support lower bit rate encoding modes, a variety of techniques are applied many of which involve the classification of the input signal. The encoder utilizes gain normalization wherein LPC (linear predictive coding) gain provides a smoothing factor for combining both open and closed loop gains. The lower the LPC gain, the greater the open loop gain contribution to a gain normalization factor. The greater the LPC gain, the greater the closed loop gain contribution. For background noise, the smaller of the closed and open loop gains are used as the normalization factor. The normalization factor is limited by the LPC gain to prevent influencing the coding quality.

    摘要翻译: 多速率语音编解码器通过自适应地选择编码比特率模式以匹配通信信道限制来支持多种编码比特率模式。 在较高的比特率编码模式中,通过CELP(码激励线性预测)和其他相关联的建模参数的语音的精确表示被生成用于更高质量的解码和再现。 为了支持较低比特率编码模式,应用了许多技术,其中许多技术涉及输入信号的分类。 编码器利用增益归一化,其中LPC(线性预测编码)增益提供用于组合开路和闭环增益的平滑因子。 LPC增益越低,开环增益对增益归一化因子的贡献越大。 LPC增益越大,闭环增益贡献越大。 对于背景噪声,使用较小的闭环和开环增益作为归一化因子。 归一化因子受LPC增益的限制,以防止影响编码质量。

    Speech gain quantization strategy
    53.
    发明授权

    公开(公告)号:US10181327B2

    公开(公告)日:2019-01-15

    申请号:US12381036

    申请日:2009-03-06

    摘要: A speech encoder that analyzes and classifies each frame of speech as being periodic-like speech or non-periodic like speech where the speech encoder performs a different gain quantization process depending if the speech is periodic or not. If the speech is periodic, the improved speech encoder obtains the pitch gains from the unquantized weighted speech signal and performs a pre-vector quantization of the adaptive codebook gain GP for each subframe of the frame before subframe processing begins and a closed-loop delayed decision vector quantization of the fixed codebook gain GC. If the frame of speech is non-periodic, the speech encoder may use any known method of gain quantization. The result of quantizing gains of periodic speech in this manner results in a reduction of the number of bits required to represent the quantized gain information and for periodic speech, the ability to use the quantized pitch gain for the current subframe to search the fixed codebook for the fixed codebook excitation vector for the current subframe. Alternatively, the new gain quantization process which was used only for periodic signals may be extended to non-periodic signals as well. This second strategy results in a slightly higher bit rate than that for periodic signals that use the new gain quantization strategy, but is still lower than the prior art's bit rate. Yet another alternative is to use the new gain quantization process for all speech signals without distinguishing between periodic and non-periodic signals.

    Speech gain quantization strategy
    54.
    发明授权
    Speech gain quantization strategy 有权
    语音增益量化策略

    公开(公告)号:US07660712B2

    公开(公告)日:2010-02-09

    申请号:US11827916

    申请日:2007-07-12

    IPC分类号: G10L19/00

    摘要: A speech encoder that analyzes and classifies each frame of speech as being periodic-like speech or non-periodic like speech where the speech encoder performs a different gain quantization process depending if the speech is periodic or not. If the speech is periodic, the improved speech encoder obtains the pitch gains from the unquantized weighted speech signal and performs a pre-vector quantization of the adaptive codebook gain GP for each subframe of the frame before subframe processing begins and a closed-loop delayed decision vector quantization of the fixed codebook gain GC. If the frame of speech is non-periodic, the speech encoder may use any known method of gain quantization. The result of quantizing gains of periodic speech in this manner results in a reduction of the number of bits required to represent the quantized gain information and for periodic speech, the ability to use the quantized pitch gain for the current subframe to search the fixed codebook for the fixed codebook excitation vector for the current subframe. Alternatively, the new gain quantization process which was used only for periodic signals may be extended to non-periodic signals as well. This second strategy results in a slightly higher bit rate than that for periodic signals that use the new gain quantization strategy, but is still lower than the prior art's bit rate. Yet another alternative is to use the new gain quantization process for all speech signals without distinguishing between periodic and non-periodic signals.

    摘要翻译: 语音编码器,其将每个语音帧分析和分类为周期性语音或非周期性类似语音,其中语音编码器根据语音是否周期性执行不同的增益量化处理。 如果语音是周期性的,则改进的语音编码器从非量化加权语音信号获得音调增益,并且在子帧处理开始之前针对帧的每个子帧执行自适应码本增益GP的前向量化,并且执行闭环延迟判定 固定码本增益GC的矢量量化。 如果语音是非周期性的,语音编码器可以使用任何已知的增益量化方法。 以这种方式量化周期性语音的增益的结果导致表示量化增益信息所需的位数减少,对于周期性语音,使用当前子帧的量化音调增益来搜索固定码本的能力 用于当前子帧的固定码本激励矢量。 或者,仅用于周期性信号的新增益量化处理也可以扩展到非周期信号。 该第二策略比使用新的增益量化策略的周期信号的比特率稍高,但是仍低于现有技术的比特率。 另一个替代方案是对所有语音信号使用新的增益量化处理,而不区分周期性和非周期性信号。

    Speech gain quantization strategy
    55.
    发明申请
    Speech gain quantization strategy 有权
    语音增益量化策略

    公开(公告)号:US20070255559A1

    公开(公告)日:2007-11-01

    申请号:US11827916

    申请日:2007-07-12

    IPC分类号: G10L21/00

    摘要: A speech encoder that analyzes and classifies each frame of speech as being periodic-like speech or non-periodic like speech where the speech encoder performs a different gain quantization process depending if the speech is periodic or not. If the speech is periodic, the improved speech encoder obtains the pitch gains from the unquantized weighted speech signal and performs a pre-vector quantization of the adaptive codebook gain GP for each subframe of the frame before subframe processing begins and a closed-loop delayed decision vector quantization of the fixed codebook gain GC. If the frame of speech is non-periodic, the speech encoder may use any known method of gain quantization. The result of quantizing gains of periodic speech in this manner results in a reduction of the number of bits required to represent the quantized gain information and for periodic speech, the ability to use the quantized pitch gain for the current subframe to search the fixed codebook for the fixed codebook excitation vector for the current subframe. Alternatively, the new gain quantization process which was used only for periodic signals may be extended to non-periodic signals as well. This second strategy results in a slightly higher bit rate than that for periodic signals that use the new gain quantization strategy, but is still lower than the prior art's bit rate. Yet another alternative is to use the new gain quantization process for all speech signals without distinguishing between periodic and non-periodic signals.

    摘要翻译: 语音编码器,其将每个语音帧分析和分类为周期性语音或非周期性类似语音,其中语音编码器根据语音是否周期性执行不同的增益量化处理。 如果语音是周期性的,则改进的语音编码器从非量化加权语音信号获得音调增益,并且对子帧处理之前的帧的每个子帧执行自适应码本增益G P1的前向量化 开始和固定码本增益G C C的闭环延迟判决矢量量化。 如果语音是非周期性的,语音编码器可以使用任何已知的增益量化方法。 以这种方式量化周期性语音的增益的结果导致表示量化增益信息所需的位数减少,对于周期性语音,使用当前子帧的量化音调增益来搜索固定码本的能力 用于当前子帧的固定码本激励矢量。 或者,仅用于周期性信号的新增益量化处理也可以扩展到非周期信号。 该第二策略比使用新的增益量化策略的周期信号的比特率稍高,但是仍低于现有技术的比特率。 另一个替代方案是对所有语音信号使用新的增益量化处理,而不区分周期性和非周期性信号。