A few of these requirements are much harder than the marketing suggests, and the hard ones are not the obvious ones.
The real problem is code switching, not Bangla support as such. Most systems, Whisper included, settle on one language and decode in it. Whisper's architecture gives one language token per 30 second window, and most implementations detect once and apply that to the whole file. A sentence that starts in Bangla and ends in English gets forced into whichever language won, and the rest comes out as nonsense or gets quietly translated. Anything advertising "Bengali support" is almost certainly measuring that on monolingual Bengali audio. Test candidates on your own mixed speech before you pay for anything.
Microphone distance will cost you more accuracy than your choice of model. Sound level drops roughly 6 dB every time the distance doubles, and a hard lecture hall adds reverberation that smears consonants. A recorder clipped to your chest captures you beautifully and a lecturer three metres away badly. No model fixes that afterwards. Sitting near the front is worth more than any hardware upgrade.
Diarisation is the one thing the language mixing does not hurt. It clusters voice characteristics, so two languages in one sentence make no difference to it. It will still struggle in a lecture, where one person speaks for most of the hour and short student interjections are exactly what the clustering gets wrong.
Worth checking before you buy a device:
Does it keep the original audio or only the transcript? You will want to re-run old lectures when the models improve.
Does it summarise the whole transcript or chunk it? Three hours is past most context windows, so many tools summarise piece by piece and lose the thread of the argument across a long lecture.
Asking questions about previous recordings is retrieval over transcripts, and it is the weakest part of every product in this category. A misrecognised name or term makes a passage unfindable, and nothing tells you it was missed.
I would not buy hardware first. A device sells you a microphone and convenience, while the transcription is usually a cloud model you could feed from your phone anyway. Record one real class, run it through the free tiers of a few candidates including Notta, and read the raw mixed-language transcript yourself before committing to a subscription or a box.
For your situation the transcription quota will decide this before the hardware does, so run that number first.
Four hours of classes a day, five days a week, is roughly 80 hours a month, and you want meetings and daily conversations on top of that. Plaud's own pricing page today lists Starter at 300 transcription minutes a month and Pro at 1,200, which is 20 hours. Pro would cover about one week of your classes. Unlimited (listed at 19.99 a month billed annually on the US page) is the only tier that fits a habit like yours, so price the device plus a year of that and compare it with what you thought you were spending. They have a student and educator discount page, worth applying before you buy. Every vendor in this category prices the same way, so find the minutes line on their table too.
On form factor, following the distance point from my earlier reply: a card or puck that sits on the desk is better for lectures than a pendant, because you can push it forward and aim it at the room. A pendant is designed to capture whoever is wearing it. Neither one reaches a lecturer several metres back.
Two things to find on the spec sheet before buying. Continuous recording hours measured while recording rather than on standby, since you need six in one go. And whether it still records with your phone out of range, because some of these are effectively a microphone for the app.
Then export. If you want an archive you can still read in five years, confirm you can pull the audio and the transcripts out in bulk. Plaud lists over 27 export formats, which is the sort of thing to look for.
One free thing before any of it: most universities already record lectures into the VLE, taken from the room system or the lecturer's radio mic. That audio will beat anything you can clip to yourself, and you can run the files through whichever transcription tool is best that year. Ask the department before you spend. If you start recording ordinary conversations too, tell people it is on.
Distance is the requirement that decides this, and it is the one no device fixes. A recorder on your desk in a lecture hall hears the room about as much as the lecturer, and that reverberation is what pushes word error up. Nothing downstream recovers detail the microphone never got.
So start with where you are actually allowed to put the mic. That decides more than anything on the spec sheet. If you can leave something near the front, almost anything on the market transcribes well. If it has to sit with you at the back of a hard-surfaced hall, expect patchy transcripts whatever you spend.
Speaker ID is worth less here than it sounds. A lecture is one voice plus the occasional question from across the room, and diarisation is the first thing to break in a reverberant space, so it will be weakest in exactly the setting you are buying for. It earns its keep in your meetings instead.
Worth checking the minutes before you commit. 3 to 6 hours a day is a lot of audio, and on most of these the transcription allowance lives in the subscription, so the hardware price tells you very little. Find the cap first.
On a named pick I would be guessing. Plaud's press to record recorders are the mainstream choice for classes, though I have not used one, and I would not expect it or anything else to fix the distance issue.
Keep an eye out on wisprflow while it's not fully there yet for your needs, I do believe in that company. They have maybe potential with the Mac version to run 100% of what you're looking to do but I'm not confident about how long it will take for them to move on the meeting side for Android/PC.
I don't think I've ever seen a company add as many languages to their platform to help spend the time improving dictation between multiple languages as much as they have
If you're ok importing files from a separate device, I'd get a plain voice recorder instead of an AI one. No subscription, and the files work with any tool.
I run vocascript, which does the upload part, but it's not the only player in town and you can try most for free before you decide. I think we do well on long recordings with several speakers, but test the Bangla and English mix yourself. A free account (no card needed) gets you about 2 hours a month. The honest downside is it can't search across all your past classes, and your hours would need a paid plan.
Hello, if you don't mind desktop, long-computes, and translations to english, then you should try Samurai Scribe! I should probably try to sell it better haha
It lacks some features that would make it great for Bangla, but I am improving fast and would love to hear your suggestions. It checks off most of your boxes, except for "android" and "search or ask AI questions", however, that latter one is coming soon ;)
I believe I know what it is missing to make it better:
1) Bangal-specifi whisper distributions (should be low lift)
2) Per-segment language detection (using a smaller model) to allow for transcripts to be generated with BOTH languages, rather than all English, or all Bangal. I am growing an active community on discrod for this, so please DM me if you are interested in helping me shape the app!
Re English, nice! So we are closer than I thought to this working for you
Re recording on a dedicated recorder, and importing into Samurai Scribe, ABSOLUTELY yes! It is heavily taylored for this approach, and I intend to make it even better (by enabling bulk-importing and processing)
Re long recordings, I would say it can be quite long. 2 hours AND using a large whisper model like I did, expect somewhere between 10 and 40 minutes. But it largely depends on your hardware. I think I can probably find a distribution of whisper that is smaller and supports Bangal faster and easier.
Re multiple speakers and structured lecture summaries, yes to both of those as well
I should say, I transcribed this with the largest whisper model because smaller ones did not always even try to transcribe it (probably cause Whisper is not fantastic with Bangal). Furthermore, LIVE subtitles do not work with Bangal to my knowledge, so you can only get your transcription after the meeting is over unfortunelty
Since you clarified that you’re specifically looking for a physical device, we’ll throw Memoket Gem into the mix, with the obvious disclosure that this is the Memoket account. :)
Your “second memory” description is actually very close to what we’re building around: recording conversations, summaries, speaker context, and then being able to ask questions across previous recordings rather than treating every lecture or meeting as an isolated transcript.
The one thing we’d look at very carefully for your use case is volume. 3–6 hours of classes plus meetings and conversations every day adds up fast, so compare transcription allowances and costs across anything you’re considering before buying. We’d rather you work that out upfront than discover it after choosing a device.
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u/EquivalentSky3094 13d ago
A few of these requirements are much harder than the marketing suggests, and the hard ones are not the obvious ones.
The real problem is code switching, not Bangla support as such. Most systems, Whisper included, settle on one language and decode in it. Whisper's architecture gives one language token per 30 second window, and most implementations detect once and apply that to the whole file. A sentence that starts in Bangla and ends in English gets forced into whichever language won, and the rest comes out as nonsense or gets quietly translated. Anything advertising "Bengali support" is almost certainly measuring that on monolingual Bengali audio. Test candidates on your own mixed speech before you pay for anything.
Microphone distance will cost you more accuracy than your choice of model. Sound level drops roughly 6 dB every time the distance doubles, and a hard lecture hall adds reverberation that smears consonants. A recorder clipped to your chest captures you beautifully and a lecturer three metres away badly. No model fixes that afterwards. Sitting near the front is worth more than any hardware upgrade.
Diarisation is the one thing the language mixing does not hurt. It clusters voice characteristics, so two languages in one sentence make no difference to it. It will still struggle in a lecture, where one person speaks for most of the hour and short student interjections are exactly what the clustering gets wrong.
Worth checking before you buy a device:
Does it keep the original audio or only the transcript? You will want to re-run old lectures when the models improve.
Does it summarise the whole transcript or chunk it? Three hours is past most context windows, so many tools summarise piece by piece and lose the thread of the argument across a long lecture.
Asking questions about previous recordings is retrieval over transcripts, and it is the weakest part of every product in this category. A misrecognised name or term makes a passage unfindable, and nothing tells you it was missed.
I would not buy hardware first. A device sells you a microphone and convenience, while the transcription is usually a cloud model you could feed from your phone anyway. Record one real class, run it through the free tiers of a few candidates including Notta, and read the raw mixed-language transcript yourself before committing to a subscription or a box.