Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Statistical parametric synthesizers have achieved very good performance scores during the last years. Nevertheless, as they require the use of vocoders to parameterize speech (during training) and to reconstruct waveforms (during synthesis), the speech generated from statistical models lacks some degree of naturalness. In previous works  explored the usefulness of the harmonics plus noise model in the design of a high-quality speech vocoder. Quite promising results re achieved when this vocoder was integrated into a synthesizer. ,  describe some recent improvements related to the excitation parameters, particularly the so called maximum voiced frequency. Its estimation and explicit modelling leads to an even better synthesis performance as confirmed by subjective comparisons with other ll-known methods.
['Daniel Erro', 'Iñaki Sainz', 'Eva Navas', 'Inma Hernaez']
I am writing a research paper on a idea Improved HNM-based Vocoder for Statistical Synthesizers
[{"from": "human", "value": "I am writing a research paper on a idea Improved HNM-based Vocoder for Statistical Synthesizers"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Statistical parametric synthesizers have achieved very good performance scores during the last years. Nevertheless, as they require the use of vocoders to parameterize speech (during training) and to reconstruct waveforms (during synthesis), the speech generated from statistical models lacks some degree of naturalness. In previous works  explored the usefulness of the harmonics plus noise model in the design of a high-quality speech vocoder. Quite promising results re achieved when this vocoder was integrated into a synthesizer. ,  describe some recent improvements related to the excitation parameters, particularly the so called maximum voiced frequency. Its estimation and explicit modelling leads to an even better synthesis performance as confirmed by subjective comparisons with other ll-known methods."}]