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ClosedMicrosoft Research/10 trustVerified

HiFiSinger

Microsoft's answer to why singing synthesis sounded lo-fi: a 48 kHz system with a FastSpeech acoustic model, a Parallel WaveGAN vocoder, and GAN training split across frequency sub-bands.

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About

HiFiSinger (arXiv 2009.01776, September 2020) tackles a concrete problem: sung voices carry expression in frequency ranges and sustained vowels that 16 to 24 kHz speech systems smear away. The Microsoft Research system runs at 48 kHz with a FastSpeech-based neural acoustic model and a Parallel WaveGAN-based vocoder, plus three ideas the authors call crucial: a sub-frequency GAN that trains separate discriminators for low/mid/high mel bands, a multi-length GAN for the longer waveforms 48 kHz produces, and F0 plus voiced/unvoiced flags as explicit acoustic features. The paper reports a 0.32 to 0.44 MOS gain over 48/24 kHz baselines and 0.83 MOS over previous SVS systems (author-reported), with demo audio still hosted on the project page. Like DeepSinger, Microsoft never published official code or weights; the GitHub repos under the name are unofficial reimplementations. It sits in Microsoft's Muzic project lineage alongside XiaoiceSing.

Specs

Context window

48 kHz waveform generation; no published max-duration figure.

Pricing

Research paper: no product, no pricing

Free quota

No official release; unofficial community reimplementations exist on GitHub

API access

No API and no released code: paper and audio demos only

Weights

Closed — API only

Released

Not disclosed

Benchmarks

  • +0.32/0.44 MOS over 48kHz/24kHz baselines, +0.83 MOS over previous SVS systems (author-reported)
  • Ablations for the sub-frequency GAN, multi-length GAN, pitch input, and window/hop choices (author-reported)
  • No official code/weights, so no independent reproduction exists

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

high-fidelity-singing-synthesis48khz-audioneural-vocodingresearch-reference

Trust score — 6/10

/10 trustVerified

Scored 6/10 (TIER verified, metrics-v1). Evidence: Microsoft Research paper with a real architectural contribution (sub-frequency and multi-length GAN training for 48 kHz singing) and thorough ablations. Strengths: one of the first serious attempts at high-fidelity SVS, and its design notes (F0 as an input feature, receptive-field choices) are still cited as practical guidance. Docked for: (1) no official code or weights were ever released, so it is not reproducible or usable; (2) every MOS figure is author-reported; (3) dormant since 2020. License: no release, not applicable.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.0/10
Maintenance · recency, releases, issue load
2.0/10
Openness · license + docs
4.0/10
Manual review · sanity read + red-flag check
6.0/10
  • · arXiv 2009.01776, September 2020; part of Microsoft's Muzic project
  • · 48 kHz: sub-frequency GAN + multi-length GAN, FastSpeech + Parallel WaveGAN
  • · Reported +0.83 MOS over previous SVS systems (author-reported)
  • · No official code or weights ever released; dormant since 2020

Sources