Speech recognition ability of cochlear implant patients are influenced by speech encoding strategy.
言语编码策略影响着患者的言语识别能力。
ANN is widely used in speech recognition field due to its self adapting, parallelism, non-linearity, robustness and learning ability.
而人工神经网络以其自适应、并行性、非线性、鲁棒性和学习特性被广泛应用于语音识别领域。
The property of clustering learning of the DRNN makes it very suitable for real-time speech recognition with on-line learning ability.
DRNN聚类学习的性能使得它非常适用于与在线学习方式相结合的实时语音识别系统。
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