Dia TTS

Dia TTS Ikiganiro

A 1.6B-parameter model purpose-built for generating natural multi-speaker dialogue, not just single-voice narration.

Kwiyandikisha kugirango Inyuguti

Umwandiko in Itagi: ya: Igenzura:

<speak><prosody rate="slow">Slow speech</prosody></speak>

i Byahiswemo Urugero - Kanda Kuri Gukuraho Rimwe Umwandiko:

Urugero: Bisanzwe Umwandiko, Umurongo: Itagi:. Itagi: -, Hindura Kuri Urugero: Nka Cyangwa.

Kugena (Ijambo =):

-12 +12
0.5x 2.0x
Na:,,
Audio Kugaragara. A Urugero:, Injiza Umwandiko, na Kanda.
Byaremwe
0:00
Iyimura Iyimura Ihuza in
Bwite Koresha Kuva: 5 /
TTS.ai? Abayobozi!

Ikiganiro Dia TTS

Dia by Nari Labs is a 1.6-billion-parameter text-to-speech model designed from the ground up for dialogue rather than monologue. It generates conversations between two speakers with realistic turn-taking, prosody, and emotional expression, producing audio that sounds like a real exchange instead of two voices read separately. Architecturally it pairs an autoregressive transformer with the Descript Audio Codec (DAC) for waveform generation. Dia is a strong fit for podcast-style content, scripted audiobook dialogue, and conversational scenes, and is released under Apache 2.0. Generations are heavier than single-voice models, so it favors quality over raw speed.

kugirango: Podcasts, audiobook dialogues, conversational content

Gushakisha byose Dia TTS Amashusho

A

Mukoraporogaramu
Nari Labs
Inyandiko y'Iyemererakoresha
Apache 2.0
Itariki
standard
Umuvuduko
medium
Guhindura izina
Oya
Ururimi:
English
Inyuguti
800

Dia TTS Amashusho

Speaker 1

English
Bisanzwe Neutral

Speaker 2

English
Bisanzwe Neutral

Dia TTS -

Multi-speaker dialogue. Unlike most TTS models that read one voice at a time, Dia generates a two-speaker conversation with natural turn-taking, prosody, and emotion in a single pass — ideal for podcasts and scripted scenes.

It is a 1.6-billion-parameter model from Nari Labs, built on an autoregressive transformer with the Descript Audio Codec for audio generation.

On TTS.ai, Dia is configured for English. Its strength is dialogue generation rather than broad multilingual coverage.
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