Papers with perceptual tests

2 papers
Evaluating Sampling-based Filler Insertion with Spontaneous TTS (2022.lrec-1)

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Challenge: Injecting fillers into spoken dialogue systems has a rich history of study . ambiguity of filler occurrence and inter-speaker difference make modeling and evaluation difficult.
Approach: They propose an objective score for filler insertion using sampling-based sampling . they build three models trained on two single-speaker spontaneous corpora and evaluate them with FPP and perceptual tests.
Outcome: The proposed model is useful in analysis but does not correlate well with perceptual MOS.
The Role of Creaky Voice in Turn Taking and the Perception of Speaker Stance: Experiments Using Controllable TTS (2024.lrec-main)

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Challenge: Recent advances in spontaneous text-to-speech (TTS) have enabled the realistic generation of creaky voice, a voice quality known for its diverse pragmatic and paralinguistic functions.
Approach: They used a creaky voice detection tool and a neural TTS engine to control creaky phonation in a spontaneous speech corpus to investigate the effect of creaky voices on perceived certainty, valence, sarcasm, and turn finality.
Outcome: The proposed model enables the realistic synthesis of creaky voice in perceptual tests without formal training.

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