yukiko
NaturalHD Japanese female, yukiko. Bright and real-time optimized.
Language: Japanese
Country: Japan
Gender: Female
Accent: Japan Kansai
Generate lifelike Japanese speech across a wide range of voices and every major accent, over carrier-grade infrastructure built for voice agents and IVR.
Pay as you go from ~$3 per 1M characters, no commitment
Built on the same infrastructure thousands of teams ship voice on
Japanese voices across every major regional accent. Hear them below, or browse the full catalog by country.
Generate Japanese audio in one request. OpenAI-SDK compatible, with streaming for real-time apps.
curl -X POST https://api.telnyx.com/v2/text-to-speech/speech \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"voice": "Telnyx.NaturalHD.ja-JP-1",
"text": "処方箋の準備ができましたので、薬局でお受け取りください。"
}' --output sample.mp3import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.TELNYX_API_KEY,
baseURL: "https://api.telnyx.com/v2",
});
const audio = await client.audio.speech.create({
model: "Telnyx.NaturalHD",
voice: "ja-JP-1",
input: "処方箋の準備ができましたので、薬局でお受け取りください。",
});from openai import OpenAI
client = OpenAI(
api_key=os.environ["TELNYX_API_KEY"],
base_url="https://api.telnyx.com/v2",
)
audio = client.audio.speech.create(
model="Telnyx.NaturalHD",
voice="ja-JP-1",
input="処方箋の準備ができましたので、薬局でお受け取りください。",
)Voice IDs follow the Telnyx.<Tier>.<Voice> convention, so you can swap the voice without touching the rest of your code.
Read the TTS docsNatural Japanese phone agents that handle calls end-to-end, carrier-grade.
Bilingual support flows that resolve common requests without a queue.
Narrate Japanese courses and lessons in any regional accent.
Long-form Japanese narration with consistent, lifelike delivery.
Localize content into Japanese at scale with named native voices.
Japanese screen-reading and read-aloud for inclusive products.
The delivery path, model breadth, low-latency pipeline, and economics behind every voice above.
24 kHz audio has to survive the phone network. Without a carrier-grade delivery path it gets crushed to 8 kHz, throwing away the quality the model produced. Own the delivery, or the voice degrades before anyone hears it.
No single engine wins every language, accent, and budget. Front many models (Telnyx, AWS Polly, Rime, Inworld, ElevenLabs, and more) behind one API so you can swap by config instead of re-integrating each time.
For voice agents and IVR, TTS alone isn't enough: TTS, STT, LLM, SIP and numbers belong in one path under ~500ms end-to-end, or the back-and-forth feels laggy and robotic.
Predictable per-character, pay-as-you-go pricing, no seats, minimums, or surprise overage tiers, is what keeps quality voice affordable once you scale past a demo.
Owned infrastructure in 20+ countries, PSTN reach in 100+ countries, used by 14,000+ companies.
| Model | Per character | Per 1M characters |
|---|---|---|
| Telnyx (standard) | $0.000003 / char | ~$3 / 1M chars |
| Telnyx HD | $0.000048 / char | ~$48 / 1M chars |
| Bring-your-own (ElevenLabs, Azure) | Your provider's rate | Billed through Telnyx |
Qualifying startups can apply to the Telnyx startups program for up to $20K in credits. Volume discounts available on the Growth Plan.
Start buildingJapanese voices, carrier-grade delivery, from ~$3 per 1M characters.
Pay as you go. No commitment. Business email required.
Japanese text to speech (TTS) converts written Japanese into natural-sounding spoken audio using AI voices. Telnyx exposes Japanese voices through one API for apps, IVR, and voice agents.
English is stress-timed[1]: stressed syllables recur at roughly even intervals while unstressed syllables collapse toward schwa. Japanese runs on a different clock: it is mora-timed[2], where each mora receives roughly equal duration. "Interesting" in casual English compresses to something like in-trst-ing[3]; a comparable Japanese word keeps every mora evenly spaced. A TTS system trained on English stress-timing imposes the wrong rhythmic skeleton on Japanese output. Producing natural mora-timed speech requires models that control sub-syllabic duration at inference, co-located with the audio pipeline so timing information survives intact.
English marks word identity through lexical stress[1]: louder, longer, higher-pitched syllables: as in REcord (noun) vs. reCORD (verb). Japanese replaces that mechanism with pitch accent[2]: meaning depends on where pitch falls across morae, not on loudness or duration. The triplet 箸 / 橋 / 端 (chopsticks / bridge / edge) differs primarily in pitch contour[3], not stress. An engine that maps English stress cues onto Japanese mispronounces words at the semantic level. Resolving pitch accent demands inference infrastructure built for prosodic control, not a chain of providers each adding latency.
English tolerates heavy consonant clusters[1]: "strengths" stacks multiple consonants around a single vowel. Japanese syllable structure is almost exclusively CV[2]: one consonant, one vowel, with only /N/ or a geminate allowed as a coda. When Japanese absorbs "strike," it becomes /sɯ.to.ɾa.i.kɯ/[3], padding each consonant with a vowel to maintain the CV pattern. TTS architectures built around English phonotactics produce illegal syllable shapes or unnatural epenthetic pauses. Accurate Japanese synthesis needs models that enforce CV constraints natively, with inference co-located alongside audio processing so syllable boundaries stay clean.