Multimode Tree Coding of Speech with Perceptual Pre-weighting and Post-weighting
نویسندگان
چکیده
A low delay and low complexity speech coder based on Multimode Tree Coding is proposed. In our Multimode Tree Coder, a simple mode classification method along with frame energy are used to classify the input speech frames into five different modes. Each mode is coded at a suitable bit-rate using a Tree coder with computationally efficient perceptual error pre-weighting and post-weighting filters, and a G.727 Code Generator. At an average bit-rate about 12 kbps for 50% Voice Activity sequences, the variable rate Multimode Tree Coder produces speech quality equivalent to the G.727 ADPCM coder at 32 kbps, resulting in nearly 63% bit-rate saving. Apart from bit-rate savings, a low delay of 6.125 ms, and low complexity are achieved by our Multimode Tree Coder, making it an interesting alternative to the AMR-NB Codec.
منابع مشابه
Signal modification incorporating perceptual weighting filter
In this paper, an improved preprocessor for low-bitrate speech coding employing the perceptual weighting filter is proposed. Speech modification in the proposed approach is performed according to a criterion which makes a compromise between the modification and perceptual weighted quantization errors. For this, the perceptual weighting filter is expressed in terms of a transform domain matrix. ...
متن کاملPerceptual weighting filter for robust speech modification
In this paper, an improved preprocessor for low-bit-rate speech coding employing the perceptual weighting filter is proposed. Speech modification in the proposed approach is performed according to a criterion which makes a compromise between the modification and perceptual weighted quantization errors. For this, the perceptual weighting filter is expressed in terms of a transform domain matrix....
متن کاملAn MCE based classification tree using hierarchical feature-weighting in speech recognition
In this paper a hierarchical classification framework using the feature-weighting tree for the objective of applying diverse weighting to acoustic features is proposed for speech recognition. The hierarchical feature-weighting tree with a flexible structure complexity can be constructed optimally with the optimal splitting for the recognition confusion graph. Based on the minimum classification...
متن کاملSpeech Enhancement Using Adaptive Kalman Filter Combined With Perceptual Weighting Filter
The speech enhancement is one of the important techniques used to improve the quality of a speech signal i.e. degraded by noise. Speech enhancement using conventional kalman filter require calculating the parameters of AR (auto-regressive) model, and performing a lot of matrix operations, which is non-adaptive. In this paper the proposed method i.e. adaptive kalman filter combined with perceptu...
متن کاملTree encoding of the LPC residual
ditionally been done on a sample by sample basis. According to rate distortion theory there is much to be gained by applying multidimensional schemes to the quantization at low bit rates. This paper presents the use of a tree—encoder for quantization of the LPC—residual. The perceptual speech quality for the straightforward encoding is however not satisfactory and a frequency weighted error cri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010