Abstract
The current study describes the collection of a new phonemically-balanced sentence resource for French, known as the Fharvard corpus. The resource consists of 700 sentences inspired by the original English Harvard sentences, along with audio recordings from one female and one male native French talker. Each of the sentences contains five mono- or bisyllabic keywords and are grouped into 70 lists of 10 sentences using an automatic phoneme-balancing procedure. Twenty-three normal-hearing French listeners identified keywords in the Fharvard sentences in speech-shaped noise. Psychometric functions for the Fharvard sentences indicate mean speech reception thresholds of −4.48 and −3.87 dB and slopes of 10.55 and 12.52 percentage points per dB at the 50% keywords correct point for the female and male talkers respectively. The complete list of Fharvard sentences and the associated audio recordings are available online for speech perception testing.
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