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Sors tal-awdjo

Iddreggja u qiegħed il-fajl tiegħek hawn, jew Ibbrawżja

Upload your speech recording. MP3, WAV, FLAC, OGG. Max 50MB.

file.mp3

0 MB
— jew tirreġistra l-vuċi tiegħek —
00:00

Trasformazzjoni

Iddreggja u qiegħed il-fajl tiegħek hawn, jew Ibbrawżja

Upload a reference of the target voice. 10-30 sec recommended.

file.mp3

0 MB

Riżultat

Ittella' l-awdjo tad-diskors, agħżel it-trasformazzjoni tiegħek, u kklikkja Ittrasforma biex tibda

It-trasformazzjoni tad-diskors... Dan jista' jieħu ftit ħin.

Oriġinali

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Trasformati

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Kif jaħdem

1. Ittella' d-diskors

Irrekordja jew ittellgħu l-awdjo inti tixtieq li jittrasformaw

2. Agħżel jittrasformaw

Agħżel bidla vuċi, trasferiment stil, jew konverżjoni tal-lingwa

3. It-trasformazzjoni tal-AI

L-AI tipproċessa l-awdjo end-to-end li tippreserva l-kontenut tad-diskors

4. Download

Isma r-riżultat u tniżżel l-awdjo trasformat tiegħek

Każijiet tal-Użu

Diskors għal diskors għal kontenut, aċċessibbiltà, u proġetti kreattivi

Dubbjar tal-vidjo

Dub vidjos f'lingwi oħra filwaqt li jippreservaw l-kelliem oriġinali

Aġġustament tal-Emozzjoni

Ibdel it-ton emozzjonali tar-reġistrazzjonijiet — agħmel diskors kalm eċċitat, jew diskors newtrali sħun u faċli.

Produzzjoni tal-Voiceover

Ittrasforma r-reġistrazzjonijiet tal-vuċi mhux maħduma f'voiceovers illustrati b'vuċijiet u stili differenti.

Anonimizzazzjoni tal-Vuċi

Disguise kelliem

Mudelli minn Diskors għal Diskors

OpenVoice

Konverżjoni tal-vuċi veloċi mal-kontroll tal-istil granulari.Bidla identità tal-vuċi, il-veloċità, u l-emozzjoni fis-sekondi.

  • Ipproċessar mgħaġġel
  • Trasferiment tal-istil
  • Cross-lingual

Chatterbox

Klonazzjoni tal-vuċi Zero-shot b'kontroll tal-emozzjoni tal-qamħ fin minn Resemble AI.

  • Kontroll tal-emozzjonijiet
  • Klonazzjoni zero-shot
  • Fedeltà għolja

CosyVoice 2

Klonazzjoni tal-vuċi trans-lingwistika fi 8 lingwi b'appoġġ prożodiku naturali u streaming.

  • 8 lingwi
  • Klonazzjoni tal-vuċi
  • Streaming

Mistoqsijiet Frekwenti (FAQ)

Speech to speech (STS) AI transforms one spoken audio recording into different speech output — changing the voice, style, emotion, or language while preserving the original words and timing. It combines speech recognition, processing, and synthesis into a single pipeline.

Text to speech converts written text into audio. Speech to speech takes existing audio as input and transforms it directly into new audio — preserving the natural rhythm, pauses, emphasis, and emotion of the original recording rather than generating speech from flat text.

Common uses include dubbing videos into other languages, changing the speaker voice in a recording, adjusting emotion or tone of existing audio, creating voiceovers from rough recordings, and anonymizing voice recordings while keeping the content.

Voice conversion models like OpenVoice and RVC handle voice-to-voice transformation. For cross-lingual speech to speech, CosyVoice 2 and GPT-SoVITS can clone and re-synthesize in a different language. Chatterbox also supports reference-audio-based synthesis.

Yes. Using voice cloning models, you can transform your speech into a different language while preserving your own voice characteristics. The AI extracts your voice identity and re-synthesizes the audio in the target language or style.

The pipeline first transcribes your speech, translates the text to the target language, then uses voice cloning to synthesize the translated text in your original voice. Models like CosyVoice 2 support 8 languages for cross-lingual synthesis.

For best results, upload clean audio with minimal background noise. WAV or FLAC at 16kHz or higher works best. MP3, OGG, M4A, and WEBM are also accepted. Clear speech produces the most accurate transformations.

Near-real-time processing is available via our API using fast models like Kokoro for synthesis and Faster Whisper for recognition. Latency depends on the model and audio length, but sub-3-second turnarounds are achievable for short utterances.

Yes. Models like Chatterbox, Spark TTS, and IndexTTS-2 support emotion and style control. You can transform calm speech into excited, sad into happy, or neutral into dramatic while keeping the same words and speaker identity.

Speech to speech combines recognition and synthesis credits. A typical 1-minute conversion uses 3-8 credits depending on the models selected. Free-tier models like Kokoro can be used for the synthesis step at zero cost.

Free users can process audio up to 1 minute. Paid plans support files up to 10 minutes. For longer recordings, split the audio into segments or use our API for batch processing with no length limits.

Yes, all uploaded audio is processed on our secure GPU servers and automatically deleted within 24 hours. We never use your audio to train models. All transfers use encrypted connections and server-to-server communication is authenticated.
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