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Distributional Metrics for Evaluating Spoken Conversational Systems
Shree Harsha Bokkahalli Satish, Erica Cooper, Patrícia Schmidtová +4
Evaluating conversational systems is a difficult and unresolved problem. We introduce the Conversational Distribution Score (CDS), which compares distributions of conversational be…
An Evaluation Framework for Text-to-Speech Voice Reconstruction
Ariadna Sanchez, Christoph Minixhofer, Korin Richmond +3
Voice reconstruction using Text-to-Speech (TTS) offers a communication method for people with speech disorders, which aims to retain their speaker identity while improving intellig…
The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs
Shree Harsha Bokkahalli Satish, Christoph Minixhofer, Maria Teleki +5
Speech Large Language Models (SpeechLLMs) process spoken input directly, retaining cues such as accent and perceived gender that were previously removed in cascaded pipelines. This…
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives
Christiaan Jacobs, Annelien Smith, Daleen Klop +3
We develop automatic speech recognition (ASR) systems for stories told by Afrikaans and isiXhosa preschool children. Oral narratives provide a way to assess children's language dev…
TTSDS -- Text-to-Speech Distribution Score
Christoph Minixhofer, Ondřej Klejch, Peter Bell
Many recently published Text-to-Speech (TTS) systems produce audio close to real speech. However, TTS evaluation needs to be revisited to make sense of the results obtained with th…
Evaluating and reducing the distance between synthetic and real speech distributions
Christoph Minixhofer, Ondřej Klejch, Peter Bell
While modern Text-to-Speech (TTS) systems can produce natural-sounding speech, they remain unable to reproduce the full diversity found in natural speech data. We consider the dist…