ARTICLE

Audio & Speech AI

Updated 2 May 2025
modelsaudiottssttspeechvoicemusic

Audio & Speech AI

AI can now listen, speak, and compose music with startling quality. Voice cloning needs only 30 seconds of audio. Transcription works across 100 languages. Music generation creates full songs from a text prompt.

This is one of the most personally impactful areas of AI. It changes how we interact with technology, how content is created, and — when misused — how trust is broken.

Text-to-Speech (TTS)

Making machines speak naturally. This used to sound robotic. Now it sounds human — including emotion, breathing, pauses, and emphasis.

ElevenLabs

The current market leader. ElevenLabs offers:

  • Voice cloning — Upload a sample, get a synthetic version of that voice
  • Emotional range — Specify mood, pacing, emphasis
  • Multilingual — 29+ languages with natural accent handling
  • Real-time — Low-latency streaming for interactive applications

Why it matters: ElevenLabs proved that synthetic speech could be indistinguishable from real speech. That’s powerful for accessibility, content creation, and localisation. It’s dangerous for voice scams and fraud.

OpenAI TTS

Built into ChatGPT’s voice mode. Less customisable than ElevenLabs but deeply integrated into the most popular AI product in the world. The Advanced Voice Mode makes conversational AI feel remarkably natural.

Open Source Options

ModelNotes
Bark (Suno)Open source. Can generate speech, music, and sound effects. Multilingual.
XTTS (Coqui)Open source voice cloning. Self-hostable. Community-driven.
PiperLightweight. Good for local/embedded use.
StyleTTS 2Research model. Near-human quality.

Speech-to-Text (STT)

Turning audio into text. This is the most mature subfield.

Whisper — OpenAI

The gold standard. Open-source, multilingual (99 languages), accurate, and free to run locally. Whisper changed the game because:

  • It works across accents, noise levels, and recording quality
  • It’s open source — you can run it on your own hardware
  • It handles code-switching (mixing languages mid-sentence)
  • Multiple model sizes: from tiny (39M params) to large (1.5B params)

Most transcription services now use Whisper under the hood. If you need STT, start here.

Deepgram

Enterprise-focused. Real-time transcription with speaker diarisation (who said what), custom vocabulary, and streaming support. Built for call centres, meetings, and live applications.

AssemblyAI

Transcription plus intelligence — automatic summarisation, topic detection, sentiment analysis, and speaker identification on top of the transcription.

Music Generation

The most culturally provocative area. AI that creates full songs — lyrics, vocals, instruments — from a text prompt.

Suno

Type “upbeat indie folk song about walking the dog on a rainy morning” and get a complete, listenable song in 30 seconds. Vocals included. Multiple genres. It’s not replacing professional musicians, but it’s making music creation accessible to everyone.

Udio

Higher fidelity than Suno in some genres. Strong on complex arrangements and production quality.

The Copyright Question

Music generation sits squarely in the legal crossfire. These models are trained on copyrighted music. The output sometimes resembles existing songs. The music industry is paying attention — and litigating. See the legal section for ongoing cases.

Voice Cloning — The Safety Line

Voice cloning is the specific capability that keeps security researchers up at night. With 15-30 seconds of someone’s voice, current systems can generate unlimited synthetic speech in that voice.

Positive uses:

  • Accessibility (give voice to those who’ve lost theirs)
  • Content localisation (dub a CEO’s speech into 20 languages)
  • Entertainment and creative expression

Malicious uses:

  • Voice phishing — “Hi Mum, I’m in trouble, send money…”
  • Impersonation for fraud
  • Fake evidence in legal proceedings
  • Non-consensual content creation

This is why the EU AI Act classifies certain voice synthesis systems as requiring transparency disclosures, and why practical AI security matters for everyone.

What to Watch

  • Real-time voice — Conversational AI that sounds completely natural (GPT-4o Voice is close)
  • Emotional intelligence — TTS that actually conveys the right emotion, not just the words
  • Voice preservation — Banking your voice for future use (medical, legacy)
  • Detection tools — Can we reliably detect synthetic speech? (Currently: barely)
  • Regulation — How will voice cloning be governed? The EU AI Act is a start.

Go Deeper

Sources

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