Spark TTS

Spark TTS Ikiganiro

Voice cloning from five seconds of audio combined with prompt-based control over emotion, speed, and speaking style.

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 Spark TTS

Spark TTS by SparkAudio merges voice cloning with controllable delivery in a single prompt-driven system. Using just five seconds of reference audio it clones a voice, then lets you steer emotion, speed, and speaking style while keeping that cloned identity intact. Under the hood it combines a BiCodec audio tokenizer, an LLM, and flow matching, and it supports English and Chinese. It is aimed at content creation where a single cloned voice needs to express a range of moods and pacing. Note the licensing split: Spark's code is Apache 2.0, but the model weights are released under CC BY-NC-SA 4.0, which restricts commercial use.

kugirango: Content creation with cloned voices and emotional control

Gushakisha byose Spark TTS Amashusho

A

Mukoraporogaramu
SparkAudio
Inyandiko y'Iyemererakoresha
CC BY-NC-SA 4.0
Itariki
standard
Umuvuduko
medium
Guhindura izina
Oya
Ururimi:
English, Chinese
Inyuguti
1000

Spark TTS Amashusho

Chinese Default

Chinese
Bisanzwe Neutral

Default

English
Bisanzwe Neutral

Spark TTS -

It uses a prompt-based control system layered on top of voice cloning, so you can adjust emotion, speed, and speaking style while preserving the identity of the cloned voice.

About five seconds of reference audio is enough to clone a voice in English or Chinese.

Its model weights are licensed CC BY-NC-SA 4.0, which prohibits commercial use, even though the project code is Apache 2.0. Choose a permissively-licensed model for commercial work.
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