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06/02/2023
Differentiable Grey-box Modelling of Phaser Effects using Frame-based Spectral Processing
Machine learning approaches to modelling analog audio effects have seen ...
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05/17/2023
Using a Large Language Model to Control Speaking Style for Expressive TTS
Appropriate prosody is critical for successful spoken communication. Con...
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03/07/2023
Do Prosody Transfer Models Transfer Prosody?
Some recent models for Text-to-Speech synthesis aim to transfer the pros...
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11/13/2022
Autovocoder: Fast Waveform Generation from a Learned Speech Representation using Differentiable Digital Signal Processing
Most state-of-the-art Text-to-Speech systems use the mel-spectrogram as ...
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06/15/2021
Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis
Text does not fully specify the spoken form, so text-to-speech models mu...
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12/07/2020
Using previous acoustic context to improve Text-to-Speech synthesis
Many speech synthesis datasets, especially those derived from audiobooks...
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08/09/2020
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning
Speaker identity is one of the important characteristics of human speech...
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03/14/2020
Perception of prosodic variation for speech synthesis using an unsupervised discrete representation of F0
In English, prosody adds a broad range of information to segment sequenc...
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02/28/2020
Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis
We aim to characterize how different speakers contribute to the perceive...
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06/10/2019
Using generative modelling to produce varied intonation for speech synthesis
Unlike human speakers, typical text-to-speech (TTS) systems are unable t...
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10/31/2018
Attentive Filtering Networks for Audio Replay Attack Detection
An attacker may use a variety of techniques to fool an automatic speaker...
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07/28/2018
Analysing Shortcomings of Statistical Parametric Speech Synthesis
Output from statistical parametric speech synthesis (SPSS) remains notic...
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03/23/2018
Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments
This paper evaluates the robustness of a DNN-HMM-based speech recognitio...
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08/22/2016
Median-Based Generation of Synthetic Speech Durations using a Non-Parametric Approach
This paper proposes a new approach to duration modelling for statistical...
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08/18/2016
DNN-based Speech Synthesis for Indian Languages from ASCII text
Text-to-Speech synthesis in Indian languages has a seen lot of progress ...
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02/22/2016
Improving Trajectory Modelling for DNN-based Speech Synthesis by using Stacked Bottleneck Features and Minimum Generation Error Training
We propose two novel techniques --- stacking bottleneck features and min...
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01/11/2016
