Title : 
An Optimal Unit-Selection Algorithm for Ultra Low Bit-Rate Speech Coding
         
        
            Author : 
Ramasubramanian, V. ; Harish, D.
         
        
            Author_Institution : 
Siemens Corp. Technol., Bangalore, India
         
        
        
        
        
            Abstract : 
In this paper, we first analyze an algorithm proposed recently by Lee and Cox, 2002, which attempts to perform a segment unit-selection for segmental quantization and show how it intrinsically suffers from several sub-optimalities. We then propose a generalized unit-selection algorithm for ultra low bit-rate segment quantization based on a modified one-pass dynamic programming algorithm. We show that this proposed algorithm is exactly optimal for both fixed and variable-length segments and also how it solves the sub-optimalities of the Lee-Cox-2002 algorithm. From rate-distortion curves from a very large continuous speech multi-speaker database, we show that our algorithm has a significantly superior performance than the algorithm of Lee and Cox by achieving considerably lower spectral distortions (up to 3 dB lower distortions) as well as much lower bit-rates for a given distortion over a range of unit database sizes.
         
        
            Keywords : 
dynamic programming; speech coding; continuous speech multi-speaker database; one-pass dynamic programming algorithm; rate-distortion curves; spectral distortions; ultra low bit rate speech coding; ultra low bit-rate segment quantization; unit selection algorithm; Algorithm design and analysis; Databases; Decoding; Dynamic programming; Heuristic algorithms; Quantization; Speech coding; Speech synthesis; Viterbi algorithm; Vocoders; Speech coding; speech codecs; speech communication; vocoders;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
         
        
            Conference_Location : 
Honolulu, HI
         
        
        
            Print_ISBN : 
1-4244-0727-3
         
        
        
            DOI : 
10.1109/ICASSP.2007.366969