Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a new speech reconstruction method from spectral envelope and pitch intervals, which is applicable to the network side of a distributed speech recognition system as a play-back function. The spectral envelope of speech is represented as a set of mel-frequency cepstral coefficients that is a ll-known recognition parameter. First, a sinusoidal synthesis with a zero-phase model is used to obtain a pitch-based waveform. To enhance the naturalness of the speech  replace the zero phase information with pre-stored linear and random codebooks. The ultimate phase information is determined depending on the energy ratio beten linear and random components. Unlike the classic low bit-rate speech coding, hover, the energy ratio is estimated in the decoding stage from a time-frequency filter applied to the pitch-based synthesized signal. Thus, the phase information is not a feature parameter from the encoder side. The proposed phase generation method uses the knowledge that pitch variation is a main cause of the mixed characteristics in speech signals. An informal listening test verifies that the quality of the proposed method is much better than that of the synthetic quality.
['Hong-Goo Kang', 'Hong Kook Kim']
I am writing a research paper on a idea A phase generation method for speech reconstruction from spectral envelope and pitch intervals
[{"from": "human", "value": "I am writing a research paper on a idea A phase generation method for speech reconstruction from spectral envelope and pitch intervals"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a new speech reconstruction method from spectral envelope and pitch intervals, which is applicable to the network side of a distributed speech recognition system as a play-back function. The spectral envelope of speech is represented as a set of mel-frequency cepstral coefficients that is a ll-known recognition parameter. First, a sinusoidal synthesis with a zero-phase model is used to obtain a pitch-based waveform. To enhance the naturalness of the speech  replace the zero phase information with pre-stored linear and random codebooks. The ultimate phase information is determined depending on the energy ratio beten linear and random components. Unlike the classic low bit-rate speech coding, hover, the energy ratio is estimated in the decoding stage from a time-frequency filter applied to the pitch-based synthesized signal. Thus, the phase information is not a feature parameter from the encoder side. The proposed phase generation method uses the knowledge that pitch variation is a main cause of the mixed characteristics in speech signals. An informal listening test verifies that the quality of the proposed method is much better than that of the synthetic quality."}]