Reduction of Speech Spectra by Analysis‐by‐Synthesis Techniques

By C. Bell, H. Fujisaki, J. Heinz, Kenneth N. Stevens, A. House. 1961

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Wavenet Based Low Rate Speech Coding (2017, positive): “Efﬁciency can be increased by encoding of blocks of samples simultaneously, for example using analysis-by-synthesis [12] in the context of generative models.”
Binary coding of speech spectrograms using a deep auto-encoder (2010, background): “…of generative modeling and of exploiting the multiple layers of non-linear transformations in the human speech generation process (e.g., [1][2][3][4][5][6]) it was not until the introduction of generative, layer-by-layer pre-training that the full power of generative modeling became apparent.”
Analysis by Synthesis: A (Re-)Emerging Program of Research for Language and Vision (2010, methodology): “For example, Bell et al. (1961) applied the method to reduce the search space of phonetic sources of speech spectra. In the succeeding five decades, the field of automatic speech recognition has witnessed the development of many sophisticated filtering procedures, that operate in a ‘noisy channel mo”