This topic covers the rapidly maturing class of generative-AI tools used to create, manipulate and deliver music and spoken audio: from text-to-music and MIDI/topline generators to production-grade text-to-speech, voice cloning, transcription and mastering. Categories include AI Music Creation Tools (ACE‑Step, Musci, Amadeus Code/FUJIYAMA), Voice Synthesis and Transcription (ElevenLabs, Bocca, Podcastle), and Text‑to‑Speech Tools (ElevenLabs, Gemini-powered TTS). By mid‑2026 the landscape emphasizes both production quality and workflow integration. Open and diffusion‑based music models such as ACE‑Step provide fast, coherent instrumental generation; platforms like Musci and Amadeus Code (formerly Evoke Music) layer sound libraries, topline MIDI and curated SFX to speed composition. For spoken-word content, Podcastle and EchoPod offer end‑to‑end podcast production (recording, editing, automatic transcripts and clipping), while ElevenLabs delivers high‑fidelity TTS, voice cloning and transcription for broadcast and agent applications. On-device transcription and privacy‑first tools such as Bocca respond to growing demand for local processing. MasteringBOX and similar services automate final mastering to fit modern delivery formats. Key trends: tighter integration between text, MIDI and audio domains; faster, higher‑coherence open models; stronger emphasis on privacy, rights management and provenance; and toolchains that move work from idea to publishable assets. Models like Lyria 3 and multimodal systems such as Gemini increasingly serve as backbones for synthesis and editing. Practical considerations—licensing, voice consent, dataset provenance and editorial control—remain central as creators adopt these tools across podcasts, games, ads and accessibility applications.