/**
 * kitten-tts-webgpu — Run Kitten TTS (80M) in the browser via WebGPU.
 *
 * One function is all you need:
 *
 * ```typescript
 * import { textToSpeech } from 'kitten-tts-webgpu';
 *
 * const wav = await textToSpeech('Hello, world!');
 * const audio = new Audio(URL.createObjectURL(wav));
 * audio.play();
 * ```
 */
/** Model size variant. Default: `'nano'`. */
export type ModelSize = 'mini' | 'micro' | 'nano';
/** Options for the `textToSpeech` function. */
export interface TextToSpeechOptions {
    /** Voice name. Default: `'Bella'`. */
    voice?: string;
    /** Speaking speed multiplier. Default: `1.0`. Range: 0.5 – 2.0. */
    speed?: number;
    /** Model size variant. Default: `'nano'` (15M, fastest, 24 MB). `'micro'` (40M) and `'mini'` (80M, best quality) are larger. */
    model?: ModelSize;
    /** Progress callback, called with stage descriptions like `'Loading model…'`. */
    onProgress?: (stage: string) => void;
}
/**
 * Convert text to a WAV audio blob using Kitten TTS.
 *
 * On the first call, this downloads the model (~75 MB) and initializes WebGPU.
 * Subsequent calls reuse the loaded model and are fast (~1 second).
 *
 * @param text - English text to synthesize (up to ~500 characters recommended)
 * @param options - Optional voice, speed, and progress callback
 * @returns A WAV audio Blob (16-bit PCM, 24 kHz, mono)
 *
 * @example
 * ```typescript
 * import { textToSpeech } from 'kitten-tts-webgpu';
 *
 * // Simple usage
 * const wav = await textToSpeech('Hello, world!');
 *
 * // Play it
 * const audio = new Audio(URL.createObjectURL(wav));
 * audio.play();
 *
 * // With options
 * const wav2 = await textToSpeech('Slow and steady wins the race.', {
 *   voice: 'Bella',
 *   speed: 0.8,
 *   onProgress: (stage) => console.log(stage),
 * });
 * ```
 */
export declare function textToSpeech(text: string, options?: TextToSpeechOptions): Promise<Blob>;
export { KittenTTSEngine } from './engine.js';
export { textToInputIds } from './phonemizer.js';
export { float32ToWav } from './wav.js';