https://www.solosoft.dev/tags/text-to-speech/Recent content in Text-to-Speech on SoloSoftHugoen-ushttps://www.solosoft.dev/post/chattts-text-to-speech-2026/Mon, 01 Jan 0001 00:00:00 +0000https://www.solosoft.dev/post/chattts-text-to-speech-2026/<p>Text-to-speech technology has advanced dramatically in recent years, but a persistent gap remains between synthetic voices and the natural cadence of human conversation. Most TTS models produce clean, clear speech that sounds unmistakably artificial — perfectly enunciated, but lacking the pauses, breathiness, laughter, and tonal variation that make dialogue feel real. <strong>ChatTTS</strong> directly targets this gap, offering an open-source model designed from the ground up for conversational speech rather than narration or announcement.</p> <p>Developed by the team at 2noise, ChatTTS has rapidly gained traction in the open-source community for its ability to produce speech that sounds genuinely human. The model was trained on over 30,000 hours of conversational audio data, deliberately prioritizing natural dialogue patterns over the pristine recording quality that characterizes most commercial TTS datasets. The result is a model that laughs, pauses, trails off, and varies its pitch and pace in ways that feel remarkably organic.</p>https://www.solosoft.dev/post/mlx-audio-apple-silicon-2026/Mon, 01 Jan 0001 00:00:00 +0000https://www.solosoft.dev/post/mlx-audio-apple-silicon-2026/<p>Apple Silicon Macs equipped with M-series chips &ndash; from the M1 through the latest M4 Ultra &ndash; pack extraordinary computational power, particularly for machine learning workloads. Their unified memory architecture allows models to access large amounts of fast memory without the bottlenecks of traditional CPU-GPU data transfer. <strong>MLX-Audio</strong>, an open-source Python library built on Apple&rsquo;s MLX framework, is purpose-built to exploit this hardware advantage for all things audio AI.</p> <p>MLX-Audio provides a unified interface for text-to-speech, speech-to-text, and speech-to-speech conversion, supporting dozens of models from OpenAI&rsquo;s Whisper (for transcription) to Kokoro and VoiceCraft (for synthesis). It brings together capabilities that are typically scattered across multiple libraries and frameworks, all optimized to run efficiently on Mac hardware.</p>