Author

Christan Grant

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#natural language process... Preprint Sep 2026

How Robust Are Neural Audio Codecs for African Speech? A Multi-Task Benchmark and the Limits of Perceptual Quality

Neural audio codecs enable low-bitrate speech compression and tokenization, yet their robustness on accented and multilingual speech remains under-evaluated. We benchmark seven open-source neural codecs (DAC, EnCodec, FocalCodec, LanguageCodec, SemantiCodec, UniCodec, WavTokenizer) on three African speech datasets afri...

C. Okocha, Christan Grant · 0 citations

Preprint Aug 2026

Dynamic Multi-Byte Prediction With Hierarchical Language Models

It is shown that multi-byte prediction strikes a Pareto-optimal trade-off across multiple generative tasks, instruction following, question answering, summarization, and machine translation, achieving the best trade-off between performance and inference throughput.

Abraham Toluwase Owodunni, C. Okocha, Christan Grant et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech

The central finding is that aggregate WER hides code switching behavior, and the best system by WER (an ASR model) is statistically indistinguishable from a leading audio LM on WER, yet the audio LM is significantly better on every switch localized metric.

C. Okocha, Christan Grant · 0 citations

#natural language process... Preprint Sep 2026

Reasoning Beyond Transcription: Audio Language Models on Child Stuttering Speech

Results show that while ALMs extract high-level meaning from stuttered speech, reasoning degrades significantly with increased usage, and instruction-guided models are instruction-guided to focus on the child, preserve clinically relevant disfluencies, and avoid adult-speech leakage.

C. Okocha, Christan Grant, Zoey Liu · 1 citation